{smcl}
{com}{sf}{ul off}{txt}{.-}
      name:  {res}<unnamed>
       {txt}log:  {res}C:\Users\pxq521\Dropbox\Death Marches\replication_materials_death_marches\tables\\table_2_SI_71_SI_72_SI_73.smcl
  {txt}log type:  {res}smcl
 {txt}opened on:  {res}27 Mar 2023, 18:27:18
{txt}
{com}.         
.         
.     ****************************************************************************
.         * Loading dataset
.     ****************************************************************************
.         
.         *Loading data
.         use "$datapath\peasant_survey.dta", clear       
{txt}(Witnessing state atrocities (DeJuan et al. 2023, CPS))

{com}.                 
.         
.     ****************************************************************************
.         * Storing control variables in macros data
.     ****************************************************************************
.         
.         *Macro containing control variables and Regierungsbezirk Fixed Effects
.         #delimit ;
{txt}delimiter now ;
{com}.         global controlsregbezfe
>                                                         age_group_40_54 
>                                                         age_group_55_64 
>                                                         age_group_65
>                                                         high_school 
>                                                         income 
>                                                         female
>                                                         farm_size 
>                                                         farm_location 
>                                                         erbhof_share_1939 
>                                                         location_income 
>                                                         location_size                                                   
>                                                         location_religion_20_79 
>                                                         location_religion_80 
>                                                         rb92 rb93 rb94 rb95 rb97
>         ;
{txt}
{com}.         #delimit cr     
{txt}delimiter now cr
{com}.                 
.         *Macro only containing control variables
.         #delimit ;
{txt}delimiter now ;
{com}.         global controlsonly     
>                                                         age_group_40_54 
>                                                         age_group_55_64 
>                                                         age_group_65
>                                                         high_school 
>                                                         income 
>                                                         female
>                                                         farm_size 
>                                                         farm_location 
>                                                         erbhof_share_1939 
>                                                         location_income 
>                                                         location_size                                                   
>                                                         location_religion_20_79 
>                                                         location_religion_80 
>         ;
{txt}
{com}.         #delimit cr                     
{txt}delimiter now cr
{com}.         
.         
.     ****************************************************************************
.         * TABLE SI.7.1.
.     ****************************************************************************
.         
.         *Summary statistics
.         #delimit ;
{txt}delimiter now ;
{com}.         sum 
> 
>                 hitler_preference
>                 altruism_africa         
>                 EWG_abolish
>                 altruism_mistrust
>                 
>                 holiday
>                 adviser
>                 vocation
>                 fixworkhours
>                 selfemployed
> 
>                 sum_bodies_am_1_50              
>                 sum_bodies_am_50                
>                 
>                 $controlsonly
>                 if transit_victim_cat != 1
>                 ;

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
hitler_pre~e {c |}{res}        476    .1785714     .383396          0          1
{txt}altruism_a~a {c |}{res}        476    .9054622    .2928833          0          1
{txt}{space 1}EWG_abolish {c |}{res}        476    .0210084    .1435631          0          1
{txt}altruism_m~t {c |}{res}        476     .407563    .4918981          0          1
{txt}{space 5}holiday {c |}{res}        468    .9017094    .2980257          0          1
{txt}{hline 13}{c +}{hline 57}
{space 5}adviser {c |}{res}        443    .7110609     .453782          0          1
{txt}{space 4}vocation {c |}{res}        427    .8266979    .3789522          0          1
{txt}fixworkhours {c |}{res}        469    .5692964    .4957035          0          1
{txt}selfemployed {c |}{res}        454    .8832599    .3214646          0          1
{txt}sum_bod~1_50 {c |}{res}        473    .2219873    .4160227          0          1
{txt}{hline 13}{c +}{hline 57}
sum_bod~m_50 {c |}{res}        473    .0338266    .1809741          0          1
{txt}age_group~54 {c |}{res}        476    .2436975    .4297639          0          1
{txt}age_group~64 {c |}{res}        476    .1344538    .3414981          0          1
{txt}age_group_65 {c |}{res}        476    .0210084    .1435631          0          1
{txt}{space 1}high_school {c |}{res}        476    .0378151    .1909496          0          1
{txt}{hline 13}{c +}{hline 57}
{space 6}income {c |}{res}        476    5.983193    1.773409          1         10
{txt}{space 6}female {c |}{res}        476    .4138655    .4930432          0          1
{txt}{space 3}farm_size {c |}{res}        450    7.008889     1.90063          2         11
{txt}farm_locat~n {c |}{res}        472    .1440678     .351531          0          1
{txt}erbhof_~1939 {c |}{res}        473    .3890773    .1516653    .030303    1.04918
{txt}{hline 13}{c +}{hline 57}
location_i~e {c |}{res}        476    2.594538    1.145008          1          5
{txt}location_s~e {c |}{res}        476    3.031513    1.355323          1          9
{txt}location_~79 {c |}{res}        476    .0168067     .128682          0          1
{txt}location_~80 {c |}{res}        476    .9180672    .2745508          0          1
{txt}
{com}.         #delimit cr     
{txt}delimiter now cr
{com}. 
.         
.     ****************************************************************************
.         * TABLE 2
.     ****************************************************************************
.         
.         *********************************
.         *Wellbeing under Hitler
.         *********************************
.         
.         *Model 1
.         #delimit ;
{txt}delimiter now ;
{com}.         reg hitler_preference   sum_bodies_am_1_50 
>                                                         sum_bodies_am_50
>                                                         $controlsregbezfe
>                                                         if transit_victim_cat != 1                                                      
>                                                         , cl(rb_code)
>         ;

{txt}Linear regression                               Number of obs     = {res}       443
                                                {txt}{help j_robustsingular:F(4, 5) }          =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.2795
                                                {txt}Root MSE          =    {res} .33934

{txt}{ralign 89:(Std. Err. adjusted for {res:6} clusters in rb_code)}
{hline 24}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 25}{c |}{col 37}    Robust
{col 1}      hitler_preference{col 25}{c |}      Coef.{col 37}   Std. Err.{col 49}      t{col 57}   P>|t|{col 65}     [95% Con{col 78}f. Interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}sum_bodies_am_1_50 {c |}{col 25}{res}{space 2} .0024257{col 37}{space 2} .0964322{col 48}{space 1}    0.03{col 57}{space 3}0.981{col 65}{space 4}-.2454612{col 78}{space 3} .2503126
{txt}{space 7}sum_bodies_am_50 {c |}{col 25}{res}{space 2}-.2286212{col 37}{space 2} .0385732{col 48}{space 1}   -5.93{col 57}{space 3}0.002{col 65}{space 4}-.3277768{col 78}{space 3}-.1294656
{txt}{space 8}age_group_40_54 {c |}{col 25}{res}{space 2} .3068721{col 37}{space 2} .1666281{col 48}{space 1}    1.84{col 57}{space 3}0.125{col 65}{space 4}-.1214591{col 78}{space 3} .7352034
{txt}{space 8}age_group_55_64 {c |}{col 25}{res}{space 2} .1353658{col 37}{space 2} .0569602{col 48}{space 1}    2.38{col 57}{space 3}0.063{col 65}{space 4}-.0110549{col 78}{space 3} .2817866
{txt}{space 11}age_group_65 {c |}{col 25}{res}{space 2}-.2394074{col 37}{space 2} .1287235{col 48}{space 1}   -1.86{col 57}{space 3}0.122{col 65}{space 4}-.5703016{col 78}{space 3} .0914869
{txt}{space 12}high_school {c |}{col 25}{res}{space 2}-.0426229{col 37}{space 2} .1737024{col 48}{space 1}   -0.25{col 57}{space 3}0.816{col 65}{space 4}-.4891392{col 78}{space 3} .4038935
{txt}{space 17}income {c |}{col 25}{res}{space 2}-.0592754{col 37}{space 2} .0142671{col 48}{space 1}   -4.15{col 57}{space 3}0.009{col 65}{space 4}-.0959502{col 78}{space 3}-.0226005
{txt}{space 17}female {c |}{col 25}{res}{space 2}-.1373415{col 37}{space 2} .0303496{col 48}{space 1}   -4.53{col 57}{space 3}0.006{col 65}{space 4}-.2153577{col 78}{space 3}-.0593253
{txt}{space 14}farm_size {c |}{col 25}{res}{space 2} .0166022{col 37}{space 2} .0183152{col 48}{space 1}    0.91{col 57}{space 3}0.406{col 65}{space 4}-.0304785{col 78}{space 3} .0636829
{txt}{space 10}farm_location {c |}{col 25}{res}{space 2} .0864663{col 37}{space 2} .0690703{col 48}{space 1}    1.25{col 57}{space 3}0.266{col 65}{space 4}-.0910846{col 78}{space 3} .2640171
{txt}{space 6}erbhof_share_1939 {c |}{col 25}{res}{space 2}-.1261285{col 37}{space 2} .1167289{col 48}{space 1}   -1.08{col 57}{space 3}0.329{col 65}{space 4}-.4261897{col 78}{space 3} .1739327
{txt}{space 8}location_income {c |}{col 25}{res}{space 2} .0036413{col 37}{space 2} .0253518{col 48}{space 1}    0.14{col 57}{space 3}0.891{col 65}{space 4}-.0615275{col 78}{space 3} .0688102
{txt}{space 10}location_size {c |}{col 25}{res}{space 2} -.000502{col 37}{space 2} .0219524{col 48}{space 1}   -0.02{col 57}{space 3}0.983{col 65}{space 4}-.0569325{col 78}{space 3} .0559285
{txt}location_religion_20_79 {c |}{col 25}{res}{space 2} .2022108{col 37}{space 2} .2072612{col 48}{space 1}    0.98{col 57}{space 3}0.374{col 65}{space 4} -.330571{col 78}{space 3} .7349926
{txt}{space 3}location_religion_80 {c |}{col 25}{res}{space 2}-.1209461{col 37}{space 2} .1037181{col 48}{space 1}   -1.17{col 57}{space 3}0.296{col 65}{space 4} -.387562{col 78}{space 3} .1456697
{txt}{space 19}rb92 {c |}{col 25}{res}{space 2} .0889092{col 37}{space 2} .0854076{col 48}{space 1}    1.04{col 57}{space 3}0.346{col 65}{space 4}-.1306379{col 78}{space 3} .3084564
{txt}{space 19}rb93 {c |}{col 25}{res}{space 2} .1619972{col 37}{space 2} .0470483{col 48}{space 1}    3.44{col 57}{space 3}0.018{col 65}{space 4} .0410556{col 78}{space 3} .2829388
{txt}{space 19}rb94 {c |}{col 25}{res}{space 2} .2460661{col 37}{space 2}  .062818{col 48}{space 1}    3.92{col 57}{space 3}0.011{col 65}{space 4} .0845873{col 78}{space 3} .4075449
{txt}{space 19}rb95 {c |}{col 25}{res}{space 2}-.0928393{col 37}{space 2} .0621314{col 48}{space 1}   -1.49{col 57}{space 3}0.195{col 65}{space 4}-.2525532{col 78}{space 3} .0668746
{txt}{space 19}rb97 {c |}{col 25}{res}{space 2} .0634303{col 37}{space 2} .0815438{col 48}{space 1}    0.78{col 57}{space 3}0.472{col 65}{space 4}-.1461847{col 78}{space 3} .2730454
{txt}{space 18}_cons {c |}{col 25}{res}{space 2} .4534116{col 37}{space 2} .2477661{col 48}{space 1}    1.83{col 57}{space 3}0.127{col 65}{space 4}-.1834915{col 78}{space 3} 1.090315
{txt}{hline 24}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         #delimit cr     
{txt}delimiter now cr
{com}.         
.         
.         *Model 2
.         #delimit ;
{txt}delimiter now ;
{com}.         reg hitler_preference   sum_bodies_am_1_50 
>                                                         sum_bodies_am_50
>                                                         $controlsonly
>                                                         if transit_victim_cat != 1                                                      
>                                                         , cl(kreis_code)
>         ;

{txt}Linear regression                               Number of obs     = {res}       443
                                                {txt}F(15, 32)         =  {res}    12.80
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.2488
                                                {txt}Root MSE          =    {res} .34446

{txt}{ralign 89:(Std. Err. adjusted for {res:33} clusters in kreis_code)}
{hline 24}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 25}{c |}{col 37}    Robust
{col 1}      hitler_preference{col 25}{c |}      Coef.{col 37}   Std. Err.{col 49}      t{col 57}   P>|t|{col 65}     [95% Con{col 78}f. Interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}sum_bodies_am_1_50 {c |}{col 25}{res}{space 2} .0372303{col 37}{space 2} .0616411{col 48}{space 1}    0.60{col 57}{space 3}0.550{col 65}{space 4}-.0883284{col 78}{space 3} .1627891
{txt}{space 7}sum_bodies_am_50 {c |}{col 25}{res}{space 2}-.1415083{col 37}{space 2} .0687805{col 48}{space 1}   -2.06{col 57}{space 3}0.048{col 65}{space 4}-.2816096{col 78}{space 3} -.001407
{txt}{space 8}age_group_40_54 {c |}{col 25}{res}{space 2} .3254542{col 37}{space 2} .1545698{col 48}{space 1}    2.11{col 57}{space 3}0.043{col 65}{space 4} .0106058{col 78}{space 3} .6403026
{txt}{space 8}age_group_55_64 {c |}{col 25}{res}{space 2} .1727934{col 37}{space 2} .1072652{col 48}{space 1}    1.61{col 57}{space 3}0.117{col 65}{space 4}-.0456986{col 78}{space 3} .3912854
{txt}{space 11}age_group_65 {c |}{col 25}{res}{space 2}-.1637292{col 37}{space 2} .1115871{col 48}{space 1}   -1.47{col 57}{space 3}0.152{col 65}{space 4}-.3910247{col 78}{space 3} .0635663
{txt}{space 12}high_school {c |}{col 25}{res}{space 2}-.0078515{col 37}{space 2}  .087841{col 48}{space 1}   -0.09{col 57}{space 3}0.929{col 65}{space 4}-.1867779{col 78}{space 3} .1710748
{txt}{space 17}income {c |}{col 25}{res}{space 2}-.0467793{col 37}{space 2} .0141663{col 48}{space 1}   -3.30{col 57}{space 3}0.002{col 65}{space 4} -.075635{col 78}{space 3}-.0179235
{txt}{space 17}female {c |}{col 25}{res}{space 2}-.1239822{col 37}{space 2} .0523965{col 48}{space 1}   -2.37{col 57}{space 3}0.024{col 65}{space 4}-.2307103{col 78}{space 3}-.0172541
{txt}{space 14}farm_size {c |}{col 25}{res}{space 2} .0152629{col 37}{space 2} .0207285{col 48}{space 1}    0.74{col 57}{space 3}0.467{col 65}{space 4}-.0269597{col 78}{space 3} .0574856
{txt}{space 10}farm_location {c |}{col 25}{res}{space 2} .0545212{col 37}{space 2} .0589083{col 48}{space 1}    0.93{col 57}{space 3}0.362{col 65}{space 4}-.0654711{col 78}{space 3} .1745136
{txt}{space 6}erbhof_share_1939 {c |}{col 25}{res}{space 2} -.173037{col 37}{space 2} .1573427{col 48}{space 1}   -1.10{col 57}{space 3}0.280{col 65}{space 4}-.4935336{col 78}{space 3} .1474595
{txt}{space 8}location_income {c |}{col 25}{res}{space 2}-.0108052{col 37}{space 2} .0219728{col 48}{space 1}   -0.49{col 57}{space 3}0.626{col 65}{space 4}-.0555625{col 78}{space 3}  .033952
{txt}{space 10}location_size {c |}{col 25}{res}{space 2}-.0081884{col 37}{space 2} .0202905{col 48}{space 1}   -0.40{col 57}{space 3}0.689{col 65}{space 4}-.0495188{col 78}{space 3} .0331421
{txt}location_religion_20_79 {c |}{col 25}{res}{space 2}  .125418{col 37}{space 2} .2151591{col 48}{space 1}    0.58{col 57}{space 3}0.564{col 65}{space 4}-.3128467{col 78}{space 3} .5636827
{txt}{space 3}location_religion_80 {c |}{col 25}{res}{space 2}-.1805996{col 37}{space 2} .1623766{col 48}{space 1}   -1.11{col 57}{space 3}0.274{col 65}{space 4}-.5113498{col 78}{space 3} .1501507
{txt}{space 18}_cons {c |}{col 25}{res}{space 2} .5782712{col 37}{space 2} .3552202{col 48}{space 1}    1.63{col 57}{space 3}0.113{col 65}{space 4}-.1452886{col 78}{space 3} 1.301831
{txt}{hline 24}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         #delimit cr     
{txt}delimiter now cr
{com}.         
.         
.         *********************************
.         *Mistrust
.         *********************************       
.         
.         *Model 3
.         #delimit ;
{txt}delimiter now ;
{com}.         reg altruism_mistrust   sum_bodies_am_1_50 
>                                                         sum_bodies_am_50
>                                                         $controlsregbezfe
>                                                         if transit_victim_cat != 1                                                      
>                                                         , cl(rb_code)
>         ;

{txt}Linear regression                               Number of obs     = {res}       443
                                                {txt}{help j_robustsingular:F(4, 5) }          =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.2007
                                                {txt}Root MSE          =    {res} .45173

{txt}{ralign 89:(Std. Err. adjusted for {res:6} clusters in rb_code)}
{hline 24}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 25}{c |}{col 37}    Robust
{col 1}      altruism_mistrust{col 25}{c |}      Coef.{col 37}   Std. Err.{col 49}      t{col 57}   P>|t|{col 65}     [95% Con{col 78}f. Interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}sum_bodies_am_1_50 {c |}{col 25}{res}{space 2} .1748253{col 37}{space 2}  .096439{col 48}{space 1}    1.81{col 57}{space 3}0.130{col 65}{space 4}-.0730791{col 78}{space 3} .4227296
{txt}{space 7}sum_bodies_am_50 {c |}{col 25}{res}{space 2} .1917009{col 37}{space 2} .0511353{col 48}{space 1}    3.75{col 57}{space 3}0.013{col 65}{space 4} .0602534{col 78}{space 3} .3231483
{txt}{space 8}age_group_40_54 {c |}{col 25}{res}{space 2} .2670153{col 37}{space 2} .2148792{col 48}{space 1}    1.24{col 57}{space 3}0.269{col 65}{space 4}-.2853494{col 78}{space 3}   .81938
{txt}{space 8}age_group_55_64 {c |}{col 25}{res}{space 2}-.0293973{col 37}{space 2} .1586642{col 48}{space 1}   -0.19{col 57}{space 3}0.860{col 65}{space 4}-.4372566{col 78}{space 3} .3784619
{txt}{space 11}age_group_65 {c |}{col 25}{res}{space 2}-.0775096{col 37}{space 2}   .13118{col 48}{space 1}   -0.59{col 57}{space 3}0.580{col 65}{space 4}-.4147186{col 78}{space 3} .2596993
{txt}{space 12}high_school {c |}{col 25}{res}{space 2} .1227181{col 37}{space 2} .1862884{col 48}{space 1}    0.66{col 57}{space 3}0.539{col 65}{space 4}-.3561516{col 78}{space 3} .6015877
{txt}{space 17}income {c |}{col 25}{res}{space 2} .0272352{col 37}{space 2} .0263817{col 48}{space 1}    1.03{col 57}{space 3}0.349{col 65}{space 4}-.0405811{col 78}{space 3} .0950515
{txt}{space 17}female {c |}{col 25}{res}{space 2}-.0495073{col 37}{space 2}  .044983{col 48}{space 1}   -1.10{col 57}{space 3}0.321{col 65}{space 4}-.1651398{col 78}{space 3} .0661252
{txt}{space 14}farm_size {c |}{col 25}{res}{space 2}-.0057077{col 37}{space 2} .0292212{col 48}{space 1}   -0.20{col 57}{space 3}0.853{col 65}{space 4}-.0808233{col 78}{space 3} .0694078
{txt}{space 10}farm_location {c |}{col 25}{res}{space 2} .0331349{col 37}{space 2} .1608478{col 48}{space 1}    0.21{col 57}{space 3}0.845{col 65}{space 4}-.3803375{col 78}{space 3} .4466072
{txt}{space 6}erbhof_share_1939 {c |}{col 25}{res}{space 2} .0192472{col 37}{space 2} .1040897{col 48}{space 1}    0.18{col 57}{space 3}0.861{col 65}{space 4}-.2483238{col 78}{space 3} .2868182
{txt}{space 8}location_income {c |}{col 25}{res}{space 2} .0932578{col 37}{space 2} .0312457{col 48}{space 1}    2.98{col 57}{space 3}0.031{col 65}{space 4} .0129382{col 78}{space 3} .1735774
{txt}{space 10}location_size {c |}{col 25}{res}{space 2}-.0757249{col 37}{space 2} .0244088{col 48}{space 1}   -3.10{col 57}{space 3}0.027{col 65}{space 4}-.1384697{col 78}{space 3}-.0129801
{txt}location_religion_20_79 {c |}{col 25}{res}{space 2}-.0974518{col 37}{space 2} .2804201{col 48}{space 1}   -0.35{col 57}{space 3}0.742{col 65}{space 4}-.8182946{col 78}{space 3} .6233909
{txt}{space 3}location_religion_80 {c |}{col 25}{res}{space 2} .1214125{col 37}{space 2} .1889639{col 48}{space 1}    0.64{col 57}{space 3}0.549{col 65}{space 4}-.3643346{col 78}{space 3} .6071596
{txt}{space 19}rb92 {c |}{col 25}{res}{space 2}-.0483727{col 37}{space 2} .1490705{col 48}{space 1}   -0.32{col 57}{space 3}0.759{col 65}{space 4}-.4315707{col 78}{space 3} .3348253
{txt}{space 19}rb93 {c |}{col 25}{res}{space 2} .0468966{col 37}{space 2} .0868893{col 48}{space 1}    0.54{col 57}{space 3}0.613{col 65}{space 4}-.1764595{col 78}{space 3} .2702527
{txt}{space 19}rb94 {c |}{col 25}{res}{space 2} -.377612{col 37}{space 2} .1037078{col 48}{space 1}   -3.64{col 57}{space 3}0.015{col 65}{space 4}-.6442015{col 78}{space 3}-.1110226
{txt}{space 19}rb95 {c |}{col 25}{res}{space 2} .6060235{col 37}{space 2} .0578307{col 48}{space 1}   10.48{col 57}{space 3}0.000{col 65}{space 4}  .457365{col 78}{space 3}  .754682
{txt}{space 19}rb97 {c |}{col 25}{res}{space 2} .0675839{col 37}{space 2} .0847743{col 48}{space 1}    0.80{col 57}{space 3}0.461{col 65}{space 4}-.1503353{col 78}{space 3} .2855032
{txt}{space 18}_cons {c |}{col 25}{res}{space 2} .0609253{col 37}{space 2} .2528356{col 48}{space 1}    0.24{col 57}{space 3}0.819{col 65}{space 4}-.5890093{col 78}{space 3} .7108598
{txt}{hline 24}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         #delimit cr     
{txt}delimiter now cr
{com}.         
.         *Model 4
.         #delimit ;
{txt}delimiter now ;
{com}.         reg altruism_mistrust   sum_bodies_am_1_50 
>                                                         sum_bodies_am_50
>                                                         $controlsonly
>                                                         if transit_victim_cat != 1                                                      
>                                                         , cl(kreis_code)
>         ;

{txt}Linear regression                               Number of obs     = {res}       443
                                                {txt}F(15, 32)         =  {res}     3.80
                                                {txt}Prob > F          = {res}    0.0007
                                                {txt}R-squared         = {res}    0.1444
                                                {txt}Root MSE          =    {res} .46463

{txt}{ralign 89:(Std. Err. adjusted for {res:33} clusters in kreis_code)}
{hline 24}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 25}{c |}{col 37}    Robust
{col 1}      altruism_mistrust{col 25}{c |}      Coef.{col 37}   Std. Err.{col 49}      t{col 57}   P>|t|{col 65}     [95% Con{col 78}f. Interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}sum_bodies_am_1_50 {c |}{col 25}{res}{space 2} .1190795{col 37}{space 2} .0565091{col 48}{space 1}    2.11{col 57}{space 3}0.043{col 65}{space 4} .0039743{col 78}{space 3} .2341847
{txt}{space 7}sum_bodies_am_50 {c |}{col 25}{res}{space 2}  .209936{col 37}{space 2} .0928851{col 48}{space 1}    2.26{col 57}{space 3}0.031{col 65}{space 4} .0207353{col 78}{space 3} .3991367
{txt}{space 8}age_group_40_54 {c |}{col 25}{res}{space 2} .2971086{col 37}{space 2} .1602662{col 48}{space 1}    1.85{col 57}{space 3}0.073{col 65}{space 4} -.029343{col 78}{space 3} .6235602
{txt}{space 8}age_group_55_64 {c |}{col 25}{res}{space 2}-.0394283{col 37}{space 2} .1281143{col 48}{space 1}   -0.31{col 57}{space 3}0.760{col 65}{space 4}-.3003886{col 78}{space 3}  .221532
{txt}{space 11}age_group_65 {c |}{col 25}{res}{space 2}-.0948143{col 37}{space 2} .2067188{col 48}{space 1}   -0.46{col 57}{space 3}0.650{col 65}{space 4}-.5158866{col 78}{space 3} .3262581
{txt}{space 12}high_school {c |}{col 25}{res}{space 2} .1765521{col 37}{space 2} .1575643{col 48}{space 1}    1.12{col 57}{space 3}0.271{col 65}{space 4}-.1443959{col 78}{space 3} .4975001
{txt}{space 17}income {c |}{col 25}{res}{space 2} .0233619{col 37}{space 2} .0278213{col 48}{space 1}    0.84{col 57}{space 3}0.407{col 65}{space 4}-.0333083{col 78}{space 3}  .080032
{txt}{space 17}female {c |}{col 25}{res}{space 2}-.0555611{col 37}{space 2} .0776942{col 48}{space 1}   -0.72{col 57}{space 3}0.480{col 65}{space 4} -.213819{col 78}{space 3} .1026969
{txt}{space 14}farm_size {c |}{col 25}{res}{space 2}-.0135282{col 37}{space 2} .0211976{col 48}{space 1}   -0.64{col 57}{space 3}0.528{col 65}{space 4}-.0567062{col 78}{space 3} .0296498
{txt}{space 10}farm_location {c |}{col 25}{res}{space 2} .0392293{col 37}{space 2} .1178874{col 48}{space 1}    0.33{col 57}{space 3}0.741{col 65}{space 4}-.2008994{col 78}{space 3} .2793581
{txt}{space 6}erbhof_share_1939 {c |}{col 25}{res}{space 2} .0323447{col 37}{space 2} .2005569{col 48}{space 1}    0.16{col 57}{space 3}0.873{col 65}{space 4}-.3761764{col 78}{space 3} .4408659
{txt}{space 8}location_income {c |}{col 25}{res}{space 2} .0839956{col 37}{space 2}  .037127{col 48}{space 1}    2.26{col 57}{space 3}0.031{col 65}{space 4} .0083704{col 78}{space 3} .1596208
{txt}{space 10}location_size {c |}{col 25}{res}{space 2}-.0648066{col 37}{space 2} .0297258{col 48}{space 1}   -2.18{col 57}{space 3}0.037{col 65}{space 4}-.1253561{col 78}{space 3}-.0042571
{txt}location_religion_20_79 {c |}{col 25}{res}{space 2} .0367838{col 37}{space 2} .3067758{col 48}{space 1}    0.12{col 57}{space 3}0.905{col 65}{space 4} -.588098{col 78}{space 3} .6616657
{txt}{space 3}location_religion_80 {c |}{col 25}{res}{space 2} .1990993{col 37}{space 2} .2541382{col 48}{space 1}    0.78{col 57}{space 3}0.439{col 65}{space 4}-.3185632{col 78}{space 3} .7167618
{txt}{space 18}_cons {c |}{col 25}{res}{space 2} .0650171{col 37}{space 2} .3906495{col 48}{space 1}    0.17{col 57}{space 3}0.869{col 65}{space 4}-.7307099{col 78}{space 3} .8607441
{txt}{hline 24}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         #delimit cr     
{txt}delimiter now cr
{com}.         
.         
.     ****************************************************************************
.         * TABLE SI.7.2.
.     ****************************************************************************        
.         
.         *********************************
.         *Foreign aid
.         *********************************
.         
.         *Model 1
.         #delimit ;
{txt}delimiter now ;
{com}.         reg altruism_africa     sum_bodies_am_1_50 
>                                                         sum_bodies_am_50
>                                                         $controlsregbezfe
>                                                         if transit_victim_cat != 1                                                      
>                                                         , cl(rb_code)
>         ;

{txt}Linear regression                               Number of obs     = {res}       443
                                                {txt}{help j_robustsingular:F(4, 5) }          =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.3140
                                                {txt}Root MSE          =    {res} .25122

{txt}{ralign 89:(Std. Err. adjusted for {res:6} clusters in rb_code)}
{hline 24}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 25}{c |}{col 37}    Robust
{col 1}        altruism_africa{col 25}{c |}      Coef.{col 37}   Std. Err.{col 49}      t{col 57}   P>|t|{col 65}     [95% Con{col 78}f. Interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}sum_bodies_am_1_50 {c |}{col 25}{res}{space 2} .1026186{col 37}{space 2} .0482244{col 48}{space 1}    2.13{col 57}{space 3}0.087{col 65}{space 4}-.0213461{col 78}{space 3} .2265832
{txt}{space 7}sum_bodies_am_50 {c |}{col 25}{res}{space 2}-.1207332{col 37}{space 2} .0237143{col 48}{space 1}   -5.09{col 57}{space 3}0.004{col 65}{space 4}-.1816928{col 78}{space 3}-.0597737
{txt}{space 8}age_group_40_54 {c |}{col 25}{res}{space 2}  .026033{col 37}{space 2} .0279606{col 48}{space 1}    0.93{col 57}{space 3}0.395{col 65}{space 4}-.0458421{col 78}{space 3} .0979081
{txt}{space 8}age_group_55_64 {c |}{col 25}{res}{space 2}-.1571256{col 37}{space 2} .1251823{col 48}{space 1}   -1.26{col 57}{space 3}0.265{col 65}{space 4}-.4789169{col 78}{space 3} .1646657
{txt}{space 11}age_group_65 {c |}{col 25}{res}{space 2}-.1861768{col 37}{space 2} .1166799{col 48}{space 1}   -1.60{col 57}{space 3}0.171{col 65}{space 4}-.4861121{col 78}{space 3} .1137585
{txt}{space 12}high_school {c |}{col 25}{res}{space 2} .1256434{col 37}{space 2} .0551462{col 48}{space 1}    2.28{col 57}{space 3}0.072{col 65}{space 4}-.0161145{col 78}{space 3} .2674012
{txt}{space 17}income {c |}{col 25}{res}{space 2} .0499013{col 37}{space 2} .0132297{col 48}{space 1}    3.77{col 57}{space 3}0.013{col 65}{space 4} .0158932{col 78}{space 3} .0839095
{txt}{space 17}female {c |}{col 25}{res}{space 2}-.1188325{col 37}{space 2}  .045701{col 48}{space 1}   -2.60{col 57}{space 3}0.048{col 65}{space 4}-.2363106{col 78}{space 3}-.0013544
{txt}{space 14}farm_size {c |}{col 25}{res}{space 2} -.003411{col 37}{space 2} .0066981{col 48}{space 1}   -0.51{col 57}{space 3}0.632{col 65}{space 4} -.020629{col 78}{space 3}  .013807
{txt}{space 10}farm_location {c |}{col 25}{res}{space 2}-.1037343{col 37}{space 2} .0853418{col 48}{space 1}   -1.22{col 57}{space 3}0.278{col 65}{space 4}-.3231123{col 78}{space 3} .1156437
{txt}{space 6}erbhof_share_1939 {c |}{col 25}{res}{space 2}-.2262378{col 37}{space 2} .0906968{col 48}{space 1}   -2.49{col 57}{space 3}0.055{col 65}{space 4}-.4593813{col 78}{space 3} .0069056
{txt}{space 8}location_income {c |}{col 25}{res}{space 2}-.0662168{col 37}{space 2} .0181796{col 48}{space 1}   -3.64{col 57}{space 3}0.015{col 65}{space 4}-.1129489{col 78}{space 3}-.0194846
{txt}{space 10}location_size {c |}{col 25}{res}{space 2} .0115628{col 37}{space 2} .0251556{col 48}{space 1}    0.46{col 57}{space 3}0.665{col 65}{space 4}-.0531016{col 78}{space 3} .0762273
{txt}location_religion_20_79 {c |}{col 25}{res}{space 2}-.0243723{col 37}{space 2} .0486268{col 48}{space 1}   -0.50{col 57}{space 3}0.638{col 65}{space 4}-.1493714{col 78}{space 3} .1006269
{txt}{space 3}location_religion_80 {c |}{col 25}{res}{space 2} .0141744{col 37}{space 2} .0739756{col 48}{space 1}    0.19{col 57}{space 3}0.856{col 65}{space 4} -.175986{col 78}{space 3} .2043349
{txt}{space 19}rb92 {c |}{col 25}{res}{space 2}-.2261866{col 37}{space 2} .0375685{col 48}{space 1}   -6.02{col 57}{space 3}0.002{col 65}{space 4}-.3227596{col 78}{space 3}-.1296136
{txt}{space 19}rb93 {c |}{col 25}{res}{space 2}-.1648439{col 37}{space 2} .0347039{col 48}{space 1}   -4.75{col 57}{space 3}0.005{col 65}{space 4}-.2540531{col 78}{space 3}-.0756346
{txt}{space 19}rb94 {c |}{col 25}{res}{space 2}-.1457058{col 37}{space 2} .0904064{col 48}{space 1}   -1.61{col 57}{space 3}0.168{col 65}{space 4}-.3781028{col 78}{space 3} .0866911
{txt}{space 19}rb95 {c |}{col 25}{res}{space 2}-.2073767{col 37}{space 2} .0890196{col 48}{space 1}   -2.33{col 57}{space 3}0.067{col 65}{space 4} -.436209{col 78}{space 3} .0214555
{txt}{space 19}rb97 {c |}{col 25}{res}{space 2}-.1256113{col 37}{space 2} .0400121{col 48}{space 1}   -3.14{col 57}{space 3}0.026{col 65}{space 4}-.2284657{col 78}{space 3}-.0227569
{txt}{space 18}_cons {c |}{col 25}{res}{space 2} 1.000347{col 37}{space 2}  .034687{col 48}{space 1}   28.84{col 57}{space 3}0.000{col 65}{space 4} .9111809{col 78}{space 3} 1.089513
{txt}{hline 24}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         #delimit cr     
{txt}delimiter now cr
{com}.         
.         *Model 2
.         #delimit ;
{txt}delimiter now ;
{com}.         reg altruism_africa     sum_bodies_am_1_50 
>                                                         sum_bodies_am_50
>                                                         $controlsonly
>                                                         if transit_victim_cat != 1                                                      
>                                                         , cl(kreis_code)
>         ;

{txt}Linear regression                               Number of obs     = {res}       443
                                                {txt}F(15, 32)         =  {res}   147.81
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.2543
                                                {txt}Root MSE          =    {res}  .2604

{txt}{ralign 89:(Std. Err. adjusted for {res:33} clusters in kreis_code)}
{hline 24}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 25}{c |}{col 37}    Robust
{col 1}        altruism_africa{col 25}{c |}      Coef.{col 37}   Std. Err.{col 49}      t{col 57}   P>|t|{col 65}     [95% Con{col 78}f. Interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}sum_bodies_am_1_50 {c |}{col 25}{res}{space 2} .0355972{col 37}{space 2} .0533534{col 48}{space 1}    0.67{col 57}{space 3}0.509{col 65}{space 4}-.0730801{col 78}{space 3} .1442744
{txt}{space 7}sum_bodies_am_50 {c |}{col 25}{res}{space 2} -.188112{col 37}{space 2} .0522408{col 48}{space 1}   -3.60{col 57}{space 3}0.001{col 65}{space 4}-.2945229{col 78}{space 3} -.081701
{txt}{space 8}age_group_40_54 {c |}{col 25}{res}{space 2}-.0140684{col 37}{space 2} .0473895{col 48}{space 1}   -0.30{col 57}{space 3}0.768{col 65}{space 4}-.1105977{col 78}{space 3} .0824609
{txt}{space 8}age_group_55_64 {c |}{col 25}{res}{space 2} -.205246{col 37}{space 2} .1167082{col 48}{space 1}   -1.76{col 57}{space 3}0.088{col 65}{space 4}-.4429728{col 78}{space 3} .0324809
{txt}{space 11}age_group_65 {c |}{col 25}{res}{space 2}-.2196337{col 37}{space 2} .1914211{col 48}{space 1}   -1.15{col 57}{space 3}0.260{col 65}{space 4}-.6095456{col 78}{space 3} .1702782
{txt}{space 12}high_school {c |}{col 25}{res}{space 2} .0697312{col 37}{space 2} .0976311{col 48}{space 1}    0.71{col 57}{space 3}0.480{col 65}{space 4}-.1291368{col 78}{space 3} .2685991
{txt}{space 17}income {c |}{col 25}{res}{space 2} .0408885{col 37}{space 2} .0170897{col 48}{space 1}    2.39{col 57}{space 3}0.023{col 65}{space 4} .0060779{col 78}{space 3} .0756992
{txt}{space 17}female {c |}{col 25}{res}{space 2}-.1377448{col 37}{space 2} .0616493{col 48}{space 1}   -2.23{col 57}{space 3}0.033{col 65}{space 4}-.2633203{col 78}{space 3}-.0121694
{txt}{space 14}farm_size {c |}{col 25}{res}{space 2} .0044278{col 37}{space 2} .0108343{col 48}{space 1}    0.41{col 57}{space 3}0.685{col 65}{space 4} -.017641{col 78}{space 3} .0264965
{txt}{space 10}farm_location {c |}{col 25}{res}{space 2}-.1021991{col 37}{space 2} .0609536{col 48}{space 1}   -1.68{col 57}{space 3}0.103{col 65}{space 4}-.2263576{col 78}{space 3} .0219593
{txt}{space 6}erbhof_share_1939 {c |}{col 25}{res}{space 2}-.2254651{col 37}{space 2} .1144494{col 48}{space 1}   -1.97{col 57}{space 3}0.058{col 65}{space 4}-.4585909{col 78}{space 3} .0076606
{txt}{space 8}location_income {c |}{col 25}{res}{space 2}-.0540119{col 37}{space 2} .0337983{col 48}{space 1}   -1.60{col 57}{space 3}0.120{col 65}{space 4}-.1228568{col 78}{space 3}  .014833
{txt}{space 10}location_size {c |}{col 25}{res}{space 2} .0171179{col 37}{space 2} .0284051{col 48}{space 1}    0.60{col 57}{space 3}0.551{col 65}{space 4}-.0407414{col 78}{space 3} .0749772
{txt}location_religion_20_79 {c |}{col 25}{res}{space 2} .0160963{col 37}{space 2} .0898788{col 48}{space 1}    0.18{col 57}{space 3}0.859{col 65}{space 4}-.1669809{col 78}{space 3} .1991736
{txt}{space 3}location_religion_80 {c |}{col 25}{res}{space 2} .0639421{col 37}{space 2} .0946637{col 48}{space 1}    0.68{col 57}{space 3}0.504{col 65}{space 4}-.1288816{col 78}{space 3} .2567657
{txt}{space 18}_cons {c |}{col 25}{res}{space 2} .8417668{col 37}{space 2} .1814034{col 48}{space 1}    4.64{col 57}{space 3}0.000{col 65}{space 4} .4722601{col 78}{space 3} 1.211273
{txt}{hline 24}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         #delimit cr             
{txt}delimiter now cr
{com}.         
.         
.         *********************************
.         *Abolish EEC
.         *********************************       
.         
.         *Model 3
.         #delimit ;
{txt}delimiter now ;
{com}.         reg EWG_abolish                 sum_bodies_am_1_50 
>                                                         sum_bodies_am_50
>                                                         $controlsregbezfe
>                                                         if transit_victim_cat != 1                                              
>                                                         , cl(rb_code)
>         ;

{txt}Linear regression                               Number of obs     = {res}       443
                                                {txt}{help j_robustsingular:F(4, 5) }          =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.0516
                                                {txt}Root MSE          =    {res} .11533

{txt}{ralign 89:(Std. Err. adjusted for {res:6} clusters in rb_code)}
{hline 24}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 25}{c |}{col 37}    Robust
{col 1}            EWG_abolish{col 25}{c |}      Coef.{col 37}   Std. Err.{col 49}      t{col 57}   P>|t|{col 65}     [95% Con{col 78}f. Interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}sum_bodies_am_1_50 {c |}{col 25}{res}{space 2}-.0039906{col 37}{space 2} .0075119{col 48}{space 1}   -0.53{col 57}{space 3}0.618{col 65}{space 4}-.0233007{col 78}{space 3} .0153194
{txt}{space 7}sum_bodies_am_50 {c |}{col 25}{res}{space 2} .1071421{col 37}{space 2} .0074348{col 48}{space 1}   14.41{col 57}{space 3}0.000{col 65}{space 4} .0880305{col 78}{space 3} .1262538
{txt}{space 8}age_group_40_54 {c |}{col 25}{res}{space 2} .0234362{col 37}{space 2} .0095108{col 48}{space 1}    2.46{col 57}{space 3}0.057{col 65}{space 4} -.001012{col 78}{space 3} .0478843
{txt}{space 8}age_group_55_64 {c |}{col 25}{res}{space 2} .0139779{col 37}{space 2} .0054239{col 48}{space 1}    2.58{col 57}{space 3}0.050{col 65}{space 4} .0000353{col 78}{space 3} .0279205
{txt}{space 11}age_group_65 {c |}{col 25}{res}{space 2}-.0228108{col 37}{space 2} .0334376{col 48}{space 1}   -0.68{col 57}{space 3}0.525{col 65}{space 4}-.1087649{col 78}{space 3} .0631432
{txt}{space 12}high_school {c |}{col 25}{res}{space 2}-.0163569{col 37}{space 2} .0045725{col 48}{space 1}   -3.58{col 57}{space 3}0.016{col 65}{space 4}-.0281109{col 78}{space 3} -.004603
{txt}{space 17}income {c |}{col 25}{res}{space 2}-.0005472{col 37}{space 2} .0075174{col 48}{space 1}   -0.07{col 57}{space 3}0.945{col 65}{space 4}-.0198712{col 78}{space 3} .0187769
{txt}{space 17}female {c |}{col 25}{res}{space 2} .0165762{col 37}{space 2} .0123017{col 48}{space 1}    1.35{col 57}{space 3}0.236{col 65}{space 4}-.0150464{col 78}{space 3} .0481988
{txt}{space 14}farm_size {c |}{col 25}{res}{space 2}-.0002692{col 37}{space 2} .0015226{col 48}{space 1}   -0.18{col 57}{space 3}0.867{col 65}{space 4}-.0041832{col 78}{space 3} .0036447
{txt}{space 10}farm_location {c |}{col 25}{res}{space 2} .0038848{col 37}{space 2} .0232805{col 48}{space 1}    0.17{col 57}{space 3}0.874{col 65}{space 4}-.0559596{col 78}{space 3} .0637291
{txt}{space 6}erbhof_share_1939 {c |}{col 25}{res}{space 2}-.0064576{col 37}{space 2} .0341621{col 48}{space 1}   -0.19{col 57}{space 3}0.858{col 65}{space 4}-.0942741{col 78}{space 3}  .081359
{txt}{space 8}location_income {c |}{col 25}{res}{space 2}-.0036013{col 37}{space 2}   .00732{col 48}{space 1}   -0.49{col 57}{space 3}0.644{col 65}{space 4}-.0224178{col 78}{space 3} .0152153
{txt}{space 10}location_size {c |}{col 25}{res}{space 2}-.0012266{col 37}{space 2} .0033769{col 48}{space 1}   -0.36{col 57}{space 3}0.731{col 65}{space 4}-.0099072{col 78}{space 3}  .007454
{txt}location_religion_20_79 {c |}{col 25}{res}{space 2} .0111631{col 37}{space 2} .0188296{col 48}{space 1}    0.59{col 57}{space 3}0.579{col 65}{space 4}-.0372399{col 78}{space 3}  .059566
{txt}{space 3}location_religion_80 {c |}{col 25}{res}{space 2} .0190144{col 37}{space 2} .0110374{col 48}{space 1}    1.72{col 57}{space 3}0.146{col 65}{space 4}-.0093582{col 78}{space 3}  .047387
{txt}{space 19}rb92 {c |}{col 25}{res}{space 2} .0014049{col 37}{space 2} .0089241{col 48}{space 1}    0.16{col 57}{space 3}0.881{col 65}{space 4}-.0215353{col 78}{space 3} .0243452
{txt}{space 19}rb93 {c |}{col 25}{res}{space 2} .0025189{col 37}{space 2} .0123424{col 48}{space 1}    0.20{col 57}{space 3}0.846{col 65}{space 4}-.0292082{col 78}{space 3} .0342459
{txt}{space 19}rb94 {c |}{col 25}{res}{space 2} .0051531{col 37}{space 2}  .015158{col 48}{space 1}    0.34{col 57}{space 3}0.748{col 65}{space 4}-.0338119{col 78}{space 3} .0441181
{txt}{space 19}rb95 {c |}{col 25}{res}{space 2} .0004886{col 37}{space 2} .0162702{col 48}{space 1}    0.03{col 57}{space 3}0.977{col 65}{space 4}-.0413352{col 78}{space 3} .0423125
{txt}{space 19}rb97 {c |}{col 25}{res}{space 2}-.0045968{col 37}{space 2} .0123368{col 48}{space 1}   -0.37{col 57}{space 3}0.725{col 65}{space 4}-.0363095{col 78}{space 3} .0271159
{txt}{space 18}_cons {c |}{col 25}{res}{space 2} -.000977{col 37}{space 2} .0503411{col 48}{space 1}   -0.02{col 57}{space 3}0.985{col 65}{space 4} -.130383{col 78}{space 3}  .128429
{txt}{hline 24}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         #delimit cr     
{txt}delimiter now cr
{com}.         
.         *Model 4        
.         #delimit ;
{txt}delimiter now ;
{com}.         reg EWG_abolish                 sum_bodies_am_1_50 
>                                                         sum_bodies_am_50
>                                                         $controlsonly
>                                                         if transit_victim_cat != 1                                                      
>                                                         , cl(kreis_code)
>         ;

{txt}Linear regression                               Number of obs     = {res}       443
                                                {txt}F(15, 32)         =  {res}   508.70
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0514
                                                {txt}Root MSE          =    {res} .11467

{txt}{ralign 89:(Std. Err. adjusted for {res:33} clusters in kreis_code)}
{hline 24}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 25}{c |}{col 37}    Robust
{col 1}            EWG_abolish{col 25}{c |}      Coef.{col 37}   Std. Err.{col 49}      t{col 57}   P>|t|{col 65}     [95% Con{col 78}f. Interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}sum_bodies_am_1_50 {c |}{col 25}{res}{space 2}-.0028339{col 37}{space 2} .0114737{col 48}{space 1}   -0.25{col 57}{space 3}0.806{col 65}{space 4}-.0262051{col 78}{space 3} .0205372
{txt}{space 7}sum_bodies_am_50 {c |}{col 25}{res}{space 2} .1086979{col 37}{space 2} .0204382{col 48}{space 1}    5.32{col 57}{space 3}0.000{col 65}{space 4} .0670665{col 78}{space 3} .1503292
{txt}{space 8}age_group_40_54 {c |}{col 25}{res}{space 2} .0235515{col 37}{space 2} .0193359{col 48}{space 1}    1.22{col 57}{space 3}0.232{col 65}{space 4}-.0158345{col 78}{space 3} .0629375
{txt}{space 8}age_group_55_64 {c |}{col 25}{res}{space 2} .0147032{col 37}{space 2} .0123654{col 48}{space 1}    1.19{col 57}{space 3}0.243{col 65}{space 4}-.0104842{col 78}{space 3} .0398907
{txt}{space 11}age_group_65 {c |}{col 25}{res}{space 2}-.0217486{col 37}{space 2} .0261372{col 48}{space 1}   -0.83{col 57}{space 3}0.412{col 65}{space 4}-.0749884{col 78}{space 3} .0314911
{txt}{space 12}high_school {c |}{col 25}{res}{space 2}-.0160488{col 37}{space 2} .0357696{col 48}{space 1}   -0.45{col 57}{space 3}0.657{col 65}{space 4} -.088909{col 78}{space 3} .0568114
{txt}{space 17}income {c |}{col 25}{res}{space 2}-.0004182{col 37}{space 2} .0061241{col 48}{space 1}   -0.07{col 57}{space 3}0.946{col 65}{space 4}-.0128926{col 78}{space 3} .0120562
{txt}{space 17}female {c |}{col 25}{res}{space 2} .0166718{col 37}{space 2} .0115753{col 48}{space 1}    1.44{col 57}{space 3}0.159{col 65}{space 4}-.0069064{col 78}{space 3} .0402499
{txt}{space 14}farm_size {c |}{col 25}{res}{space 2}-.0002798{col 37}{space 2} .0033992{col 48}{space 1}   -0.08{col 57}{space 3}0.935{col 65}{space 4}-.0072037{col 78}{space 3} .0066442
{txt}{space 10}farm_location {c |}{col 25}{res}{space 2} .0036969{col 37}{space 2} .0278921{col 48}{space 1}    0.13{col 57}{space 3}0.895{col 65}{space 4}-.0531175{col 78}{space 3} .0605114
{txt}{space 6}erbhof_share_1939 {c |}{col 25}{res}{space 2}-.0084297{col 37}{space 2} .0235155{col 48}{space 1}   -0.36{col 57}{space 3}0.722{col 65}{space 4}-.0563292{col 78}{space 3} .0394699
{txt}{space 8}location_income {c |}{col 25}{res}{space 2}-.0036617{col 37}{space 2} .0046439{col 48}{space 1}   -0.79{col 57}{space 3}0.436{col 65}{space 4}-.0131211{col 78}{space 3} .0057977
{txt}{space 10}location_size {c |}{col 25}{res}{space 2} -.001744{col 37}{space 2} .0070323{col 48}{space 1}   -0.25{col 57}{space 3}0.806{col 65}{space 4}-.0160683{col 78}{space 3} .0125802
{txt}location_religion_20_79 {c |}{col 25}{res}{space 2} .0048952{col 37}{space 2} .0248136{col 48}{space 1}    0.20{col 57}{space 3}0.845{col 65}{space 4}-.0456485{col 78}{space 3} .0554389
{txt}{space 3}location_religion_80 {c |}{col 25}{res}{space 2} .0168183{col 37}{space 2} .0107298{col 48}{space 1}    1.57{col 57}{space 3}0.127{col 65}{space 4}-.0050375{col 78}{space 3} .0386741
{txt}{space 18}_cons {c |}{col 25}{res}{space 2} .0034817{col 37}{space 2} .0390994{col 48}{space 1}    0.09{col 57}{space 3}0.930{col 65}{space 4}-.0761612{col 78}{space 3} .0831245
{txt}{hline 24}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         #delimit cr     
{txt}delimiter now cr
{com}.         
.         
.     ****************************************************************************
.         * TABLE SI.7.3.
.     ****************************************************************************                
.         
.         *********************************
.         *Holidays needed
.         *********************************
.         
.         *Model 1
.         #delimit ;
{txt}delimiter now ;
{com}.         reg holiday                     sum_bodies_am_1_50 
>                                                         sum_bodies_am_50
>                                                         $controlsregbezfe
>                                                         if transit_victim_cat != 1                                                      
>                                                         , cl(rb_code)
>         ;

{txt}Linear regression                               Number of obs     = {res}       435
                                                {txt}{help j_robustsingular:F(4, 5) }          =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.1417
                                                {txt}Root MSE          =    {res} .27442

{txt}{ralign 89:(Std. Err. adjusted for {res:6} clusters in rb_code)}
{hline 24}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 25}{c |}{col 37}    Robust
{col 1}                holiday{col 25}{c |}      Coef.{col 37}   Std. Err.{col 49}      t{col 57}   P>|t|{col 65}     [95% Con{col 78}f. Interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}sum_bodies_am_1_50 {c |}{col 25}{res}{space 2}-.0047623{col 37}{space 2} .0266825{col 48}{space 1}   -0.18{col 57}{space 3}0.865{col 65}{space 4}-.0733519{col 78}{space 3} .0638272
{txt}{space 7}sum_bodies_am_50 {c |}{col 25}{res}{space 2} .0711165{col 37}{space 2} .0524265{col 48}{space 1}    1.36{col 57}{space 3}0.233{col 65}{space 4}-.0636501{col 78}{space 3} .2058831
{txt}{space 8}age_group_40_54 {c |}{col 25}{res}{space 2} .0476647{col 37}{space 2} .0277254{col 48}{space 1}    1.72{col 57}{space 3}0.146{col 65}{space 4}-.0236057{col 78}{space 3}  .118935
{txt}{space 8}age_group_55_64 {c |}{col 25}{res}{space 2} .0968984{col 37}{space 2} .0525983{col 48}{space 1}    1.84{col 57}{space 3}0.125{col 65}{space 4}-.0383098{col 78}{space 3} .2321065
{txt}{space 11}age_group_65 {c |}{col 25}{res}{space 2} .1282461{col 37}{space 2} .0255027{col 48}{space 1}    5.03{col 57}{space 3}0.004{col 65}{space 4} .0626892{col 78}{space 3} .1938029
{txt}{space 12}high_school {c |}{col 25}{res}{space 2}-.4580365{col 37}{space 2}  .186372{col 48}{space 1}   -2.46{col 57}{space 3}0.057{col 65}{space 4}-.9371209{col 78}{space 3}  .021048
{txt}{space 17}income {c |}{col 25}{res}{space 2} .0317141{col 37}{space 2} .0178039{col 48}{space 1}    1.78{col 57}{space 3}0.135{col 65}{space 4}-.0140522{col 78}{space 3} .0774804
{txt}{space 17}female {c |}{col 25}{res}{space 2} .0632801{col 37}{space 2} .0956546{col 48}{space 1}    0.66{col 57}{space 3}0.538{col 65}{space 4}-.1826078{col 78}{space 3}  .309168
{txt}{space 14}farm_size {c |}{col 25}{res}{space 2} .0194918{col 37}{space 2} .0043016{col 48}{space 1}    4.53{col 57}{space 3}0.006{col 65}{space 4} .0084341{col 78}{space 3} .0305495
{txt}{space 10}farm_location {c |}{col 25}{res}{space 2}  .042257{col 37}{space 2} .0073823{col 48}{space 1}    5.72{col 57}{space 3}0.002{col 65}{space 4} .0232802{col 78}{space 3} .0612338
{txt}{space 6}erbhof_share_1939 {c |}{col 25}{res}{space 2} .1051739{col 37}{space 2} .1023327{col 48}{space 1}    1.03{col 57}{space 3}0.351{col 65}{space 4}-.1578808{col 78}{space 3} .3682286
{txt}{space 8}location_income {c |}{col 25}{res}{space 2} .0389947{col 37}{space 2} .0591419{col 48}{space 1}    0.66{col 57}{space 3}0.539{col 65}{space 4}-.1130344{col 78}{space 3} .1910238
{txt}{space 10}location_size {c |}{col 25}{res}{space 2}-.0103847{col 37}{space 2}  .022681{col 48}{space 1}   -0.46{col 57}{space 3}0.666{col 65}{space 4}-.0686882{col 78}{space 3} .0479188
{txt}location_religion_20_79 {c |}{col 25}{res}{space 2} .3861724{col 37}{space 2} .1090514{col 48}{space 1}    3.54{col 57}{space 3}0.017{col 65}{space 4}  .105847{col 78}{space 3} .6664979
{txt}{space 3}location_religion_80 {c |}{col 25}{res}{space 2} .4205806{col 37}{space 2} .0825695{col 48}{space 1}    5.09{col 57}{space 3}0.004{col 65}{space 4} .2083288{col 78}{space 3} .6328324
{txt}{space 19}rb92 {c |}{col 25}{res}{space 2}-.0262142{col 37}{space 2} .0330735{col 48}{space 1}   -0.79{col 57}{space 3}0.464{col 65}{space 4}-.1112323{col 78}{space 3}  .058804
{txt}{space 19}rb93 {c |}{col 25}{res}{space 2} .0092131{col 37}{space 2} .0097604{col 48}{space 1}    0.94{col 57}{space 3}0.389{col 65}{space 4}-.0158768{col 78}{space 3}  .034303
{txt}{space 19}rb94 {c |}{col 25}{res}{space 2} .3758554{col 37}{space 2} .1522335{col 48}{space 1}    2.47{col 57}{space 3}0.057{col 65}{space 4}-.0154732{col 78}{space 3} .7671841
{txt}{space 19}rb95 {c |}{col 25}{res}{space 2} .5155541{col 37}{space 2} .1633597{col 48}{space 1}    3.16{col 57}{space 3}0.025{col 65}{space 4} .0956247{col 78}{space 3} .9354835
{txt}{space 19}rb97 {c |}{col 25}{res}{space 2} .0822731{col 37}{space 2} .0403359{col 48}{space 1}    2.04{col 57}{space 3}0.097{col 65}{space 4}-.0214136{col 78}{space 3} .1859598
{txt}{space 18}_cons {c |}{col 25}{res}{space 2} .0047467{col 37}{space 2} .1259656{col 48}{space 1}    0.04{col 57}{space 3}0.971{col 65}{space 4}-.3190583{col 78}{space 3} .3285517
{txt}{hline 24}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         #delimit cr     
{txt}delimiter now cr
{com}.         
.         *Model 2
.         #delimit ;
{txt}delimiter now ;
{com}.         reg holiday                     sum_bodies_am_1_50 
>                                                         sum_bodies_am_50
>                                                         $controlsonly
>                                                         if transit_victim_cat != 1                                                      
>                                                         , cl(kreis_code)
>         ;

{txt}Linear regression                               Number of obs     = {res}       435
                                                {txt}F(15, 32)         =  {res}    25.56
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.1305
                                                {txt}Root MSE          =    {res} .27454

{txt}{ralign 89:(Std. Err. adjusted for {res:33} clusters in kreis_code)}
{hline 24}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 25}{c |}{col 37}    Robust
{col 1}                holiday{col 25}{c |}      Coef.{col 37}   Std. Err.{col 49}      t{col 57}   P>|t|{col 65}     [95% Con{col 78}f. Interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}sum_bodies_am_1_50 {c |}{col 25}{res}{space 2}  -.02363{col 37}{space 2} .0413521{col 48}{space 1}   -0.57{col 57}{space 3}0.572{col 65}{space 4}-.1078615{col 78}{space 3} .0606016
{txt}{space 7}sum_bodies_am_50 {c |}{col 25}{res}{space 2} .0781699{col 37}{space 2} .0877717{col 48}{space 1}    0.89{col 57}{space 3}0.380{col 65}{space 4}-.1006152{col 78}{space 3}  .256955
{txt}{space 8}age_group_40_54 {c |}{col 25}{res}{space 2} .0514779{col 37}{space 2} .0431815{col 48}{space 1}    1.19{col 57}{space 3}0.242{col 65}{space 4}-.0364799{col 78}{space 3} .1394358
{txt}{space 8}age_group_55_64 {c |}{col 25}{res}{space 2} .0939123{col 37}{space 2} .0405992{col 48}{space 1}    2.31{col 57}{space 3}0.027{col 65}{space 4} .0112144{col 78}{space 3} .1766102
{txt}{space 11}age_group_65 {c |}{col 25}{res}{space 2} .1352752{col 37}{space 2} .0539669{col 48}{space 1}    2.51{col 57}{space 3}0.017{col 65}{space 4} .0253482{col 78}{space 3} .2452021
{txt}{space 12}high_school {c |}{col 25}{res}{space 2}-.4503601{col 37}{space 2} .2815815{col 48}{space 1}   -1.60{col 57}{space 3}0.120{col 65}{space 4}-1.023923{col 78}{space 3} .1232028
{txt}{space 17}income {c |}{col 25}{res}{space 2} .0328254{col 37}{space 2} .0161421{col 48}{space 1}    2.03{col 57}{space 3}0.050{col 65}{space 4}-.0000551{col 78}{space 3} .0657058
{txt}{space 17}female {c |}{col 25}{res}{space 2} .0696638{col 37}{space 2} .0887076{col 48}{space 1}    0.79{col 57}{space 3}0.438{col 65}{space 4}-.1110277{col 78}{space 3} .2503554
{txt}{space 14}farm_size {c |}{col 25}{res}{space 2} .0202465{col 37}{space 2} .0136902{col 48}{space 1}    1.48{col 57}{space 3}0.149{col 65}{space 4}-.0076395{col 78}{space 3} .0481325
{txt}{space 10}farm_location {c |}{col 25}{res}{space 2} .0350521{col 37}{space 2} .0511736{col 48}{space 1}    0.68{col 57}{space 3}0.498{col 65}{space 4}-.0691851{col 78}{space 3} .1392893
{txt}{space 6}erbhof_share_1939 {c |}{col 25}{res}{space 2} .1141509{col 37}{space 2} .1476347{col 48}{space 1}    0.77{col 57}{space 3}0.445{col 65}{space 4}-.1865711{col 78}{space 3} .4148729
{txt}{space 8}location_income {c |}{col 25}{res}{space 2} .0390458{col 37}{space 2} .0581792{col 48}{space 1}    0.67{col 57}{space 3}0.507{col 65}{space 4}-.0794613{col 78}{space 3} .1575529
{txt}{space 10}location_size {c |}{col 25}{res}{space 2}-.0045986{col 37}{space 2} .0182861{col 48}{space 1}   -0.25{col 57}{space 3}0.803{col 65}{space 4}-.0418462{col 78}{space 3}  .032649
{txt}location_religion_20_79 {c |}{col 25}{res}{space 2} .0662435{col 37}{space 2} .0621812{col 48}{space 1}    1.07{col 57}{space 3}0.295{col 65}{space 4}-.0604154{col 78}{space 3} .1929023
{txt}{space 3}location_religion_80 {c |}{col 25}{res}{space 2} .0408534{col 37}{space 2} .0780087{col 48}{space 1}    0.52{col 57}{space 3}0.604{col 65}{space 4} -.118045{col 78}{space 3} .1997519
{txt}{space 18}_cons {c |}{col 25}{res}{space 2}  .355618{col 37}{space 2} .3480428{col 48}{space 1}    1.02{col 57}{space 3}0.315{col 65}{space 4}-.3533221{col 78}{space 3} 1.064558
{txt}{hline 24}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         #delimit cr     
{txt}delimiter now cr
{com}.         
.         
.         *********************************
.         *Consultant necessary
.         *********************************       
.         
.         *Model 3
.         #delimit ;
{txt}delimiter now ;
{com}.         reg adviser                     sum_bodies_am_1_50 
>                                                         sum_bodies_am_50
>                                                         $controlsregbezfe
>                                                         if transit_victim_cat != 1                                                      
>                                                         , cl(rb_code)
>         ;

{txt}Linear regression                               Number of obs     = {res}       414
                                                {txt}{help j_robustsingular:F(4, 5) }          =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.2032
                                                {txt}Root MSE          =    {res} .42062

{txt}{ralign 89:(Std. Err. adjusted for {res:6} clusters in rb_code)}
{hline 24}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 25}{c |}{col 37}    Robust
{col 1}                adviser{col 25}{c |}      Coef.{col 37}   Std. Err.{col 49}      t{col 57}   P>|t|{col 65}     [95% Con{col 78}f. Interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}sum_bodies_am_1_50 {c |}{col 25}{res}{space 2}-.0680654{col 37}{space 2} .1151945{col 48}{space 1}   -0.59{col 57}{space 3}0.580{col 65}{space 4}-.3641822{col 78}{space 3} .2280513
{txt}{space 7}sum_bodies_am_50 {c |}{col 25}{res}{space 2} .0948677{col 37}{space 2} .0687282{col 48}{space 1}    1.38{col 57}{space 3}0.226{col 65}{space 4}-.0818037{col 78}{space 3} .2715391
{txt}{space 8}age_group_40_54 {c |}{col 25}{res}{space 2}-.0104792{col 37}{space 2} .0732711{col 48}{space 1}   -0.14{col 57}{space 3}0.892{col 65}{space 4}-.1988285{col 78}{space 3} .1778702
{txt}{space 8}age_group_55_64 {c |}{col 25}{res}{space 2}-.1219114{col 37}{space 2} .0848532{col 48}{space 1}   -1.44{col 57}{space 3}0.210{col 65}{space 4}-.3400334{col 78}{space 3} .0962106
{txt}{space 11}age_group_65 {c |}{col 25}{res}{space 2}-.1303835{col 37}{space 2} .2655178{col 48}{space 1}   -0.49{col 57}{space 3}0.644{col 65}{space 4}-.8129188{col 78}{space 3} .5521517
{txt}{space 12}high_school {c |}{col 25}{res}{space 2}-.0879859{col 37}{space 2} .1529061{col 48}{space 1}   -0.58{col 57}{space 3}0.590{col 65}{space 4}-.4810437{col 78}{space 3} .3050718
{txt}{space 17}income {c |}{col 25}{res}{space 2} .0488478{col 37}{space 2} .0304409{col 48}{space 1}    1.60{col 57}{space 3}0.169{col 65}{space 4} -.029403{col 78}{space 3} .1270986
{txt}{space 17}female {c |}{col 25}{res}{space 2}-.0331738{col 37}{space 2} .0592708{col 48}{space 1}   -0.56{col 57}{space 3}0.600{col 65}{space 4}-.1855342{col 78}{space 3} .1191867
{txt}{space 14}farm_size {c |}{col 25}{res}{space 2} .0448694{col 37}{space 2} .0176052{col 48}{space 1}    2.55{col 57}{space 3}0.051{col 65}{space 4}-.0003861{col 78}{space 3}  .090125
{txt}{space 10}farm_location {c |}{col 25}{res}{space 2} -.112868{col 37}{space 2}  .085076{col 48}{space 1}   -1.33{col 57}{space 3}0.242{col 65}{space 4}-.3315629{col 78}{space 3} .1058269
{txt}{space 6}erbhof_share_1939 {c |}{col 25}{res}{space 2} .1712174{col 37}{space 2} .4017595{col 48}{space 1}    0.43{col 57}{space 3}0.688{col 65}{space 4}-.8615383{col 78}{space 3} 1.203973
{txt}{space 8}location_income {c |}{col 25}{res}{space 2} .0293992{col 37}{space 2} .0213331{col 48}{space 1}    1.38{col 57}{space 3}0.227{col 65}{space 4}-.0254393{col 78}{space 3} .0842376
{txt}{space 10}location_size {c |}{col 25}{res}{space 2} .0041769{col 37}{space 2} .0507469{col 48}{space 1}    0.08{col 57}{space 3}0.938{col 65}{space 4}-.1262722{col 78}{space 3} .1346261
{txt}location_religion_20_79 {c |}{col 25}{res}{space 2} .2459118{col 37}{space 2} .1273089{col 48}{space 1}    1.93{col 57}{space 3}0.111{col 65}{space 4}-.0813462{col 78}{space 3} .5731697
{txt}{space 3}location_religion_80 {c |}{col 25}{res}{space 2}-.0827495{col 37}{space 2} .1018806{col 48}{space 1}   -0.81{col 57}{space 3}0.454{col 65}{space 4} -.344642{col 78}{space 3}  .179143
{txt}{space 19}rb92 {c |}{col 25}{res}{space 2}-.1732792{col 37}{space 2} .0603561{col 48}{space 1}   -2.87{col 57}{space 3}0.035{col 65}{space 4}-.3284295{col 78}{space 3}-.0181289
{txt}{space 19}rb93 {c |}{col 25}{res}{space 2}-.0860656{col 37}{space 2} .0516671{col 48}{space 1}   -1.67{col 57}{space 3}0.157{col 65}{space 4}-.2188801{col 78}{space 3}  .046749
{txt}{space 19}rb94 {c |}{col 25}{res}{space 2}-.4645774{col 37}{space 2} .0680215{col 48}{space 1}   -6.83{col 57}{space 3}0.001{col 65}{space 4}-.6394323{col 78}{space 3}-.2897226
{txt}{space 19}rb95 {c |}{col 25}{res}{space 2}-.7833649{col 37}{space 2} .1522214{col 48}{space 1}   -5.15{col 57}{space 3}0.004{col 65}{space 4}-1.174662{col 78}{space 3}-.3920674
{txt}{space 19}rb97 {c |}{col 25}{res}{space 2}-.2972355{col 37}{space 2} .1180316{col 48}{space 1}   -2.52{col 57}{space 3}0.053{col 65}{space 4}-.6006455{col 78}{space 3} .0061745
{txt}{space 18}_cons {c |}{col 25}{res}{space 2} .1754826{col 37}{space 2} .1583136{col 48}{space 1}    1.11{col 57}{space 3}0.318{col 65}{space 4}-.2314753{col 78}{space 3} .5824406
{txt}{hline 24}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         #delimit cr             
{txt}delimiter now cr
{com}.         
.         *Model 4        
.         #delimit ;
{txt}delimiter now ;
{com}.         reg adviser                     sum_bodies_am_1_50 
>                                                         sum_bodies_am_50
>                                                         $controlsonly
>                                                         if transit_victim_cat != 1                                                      
>                                                         , cl(kreis_code)
>         ;

{txt}Linear regression                               Number of obs     = {res}       414
                                                {txt}F(15, 32)         =  {res}    25.40
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.1721
                                                {txt}Root MSE          =    {res} .42603

{txt}{ralign 89:(Std. Err. adjusted for {res:33} clusters in kreis_code)}
{hline 24}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 25}{c |}{col 37}    Robust
{col 1}                adviser{col 25}{c |}      Coef.{col 37}   Std. Err.{col 49}      t{col 57}   P>|t|{col 65}     [95% Con{col 78}f. Interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}sum_bodies_am_1_50 {c |}{col 25}{res}{space 2}-.0908045{col 37}{space 2} .0797594{col 48}{space 1}   -1.14{col 57}{space 3}0.263{col 65}{space 4}-.2532691{col 78}{space 3} .0716601
{txt}{space 7}sum_bodies_am_50 {c |}{col 25}{res}{space 2}   .07913{col 37}{space 2} .1181772{col 48}{space 1}    0.67{col 57}{space 3}0.508{col 65}{space 4} -.161589{col 78}{space 3}  .319849
{txt}{space 8}age_group_40_54 {c |}{col 25}{res}{space 2}-.0434301{col 37}{space 2} .0580149{col 48}{space 1}   -0.75{col 57}{space 3}0.460{col 65}{space 4}-.1616025{col 78}{space 3} .0747423
{txt}{space 8}age_group_55_64 {c |}{col 25}{res}{space 2}-.1477235{col 37}{space 2} .0978917{col 48}{space 1}   -1.51{col 57}{space 3}0.141{col 65}{space 4}-.3471223{col 78}{space 3} .0516754
{txt}{space 11}age_group_65 {c |}{col 25}{res}{space 2}-.1191916{col 37}{space 2} .2325092{col 48}{space 1}   -0.51{col 57}{space 3}0.612{col 65}{space 4}-.5927973{col 78}{space 3} .3544142
{txt}{space 12}high_school {c |}{col 25}{res}{space 2}-.1334843{col 37}{space 2} .1958925{col 48}{space 1}   -0.68{col 57}{space 3}0.501{col 65}{space 4}-.5325042{col 78}{space 3} .2655356
{txt}{space 17}income {c |}{col 25}{res}{space 2} .0465602{col 37}{space 2} .0297712{col 48}{space 1}    1.56{col 57}{space 3}0.128{col 65}{space 4}-.0140818{col 78}{space 3} .1072022
{txt}{space 17}female {c |}{col 25}{res}{space 2}-.0589914{col 37}{space 2} .0725201{col 48}{space 1}   -0.81{col 57}{space 3}0.422{col 65}{space 4}  -.20671{col 78}{space 3} .0887271
{txt}{space 14}farm_size {c |}{col 25}{res}{space 2} .0508582{col 37}{space 2} .0223051{col 48}{space 1}    2.28{col 57}{space 3}0.029{col 65}{space 4} .0054243{col 78}{space 3} .0962922
{txt}{space 10}farm_location {c |}{col 25}{res}{space 2}-.1169486{col 37}{space 2} .0941481{col 48}{space 1}   -1.24{col 57}{space 3}0.223{col 65}{space 4}-.3087221{col 78}{space 3} .0748249
{txt}{space 6}erbhof_share_1939 {c |}{col 25}{res}{space 2} .1126761{col 37}{space 2} .2226514{col 48}{space 1}    0.51{col 57}{space 3}0.616{col 65}{space 4}  -.34085{col 78}{space 3} .5662023
{txt}{space 8}location_income {c |}{col 25}{res}{space 2} .0373503{col 37}{space 2}   .02904{col 48}{space 1}    1.29{col 57}{space 3}0.208{col 65}{space 4}-.0218022{col 78}{space 3} .0965029
{txt}{space 10}location_size {c |}{col 25}{res}{space 2}-.0089441{col 37}{space 2} .0265152{col 48}{space 1}   -0.34{col 57}{space 3}0.738{col 65}{space 4}-.0629538{col 78}{space 3} .0450655
{txt}location_religion_20_79 {c |}{col 25}{res}{space 2} .5419936{col 37}{space 2} .1285703{col 48}{space 1}    4.22{col 57}{space 3}0.000{col 65}{space 4} .2801045{col 78}{space 3} .8038826
{txt}{space 3}location_religion_80 {c |}{col 25}{res}{space 2} .3773903{col 37}{space 2} .1094282{col 48}{space 1}    3.45{col 57}{space 3}0.002{col 65}{space 4} .1544924{col 78}{space 3} .6002882
{txt}{space 18}_cons {c |}{col 25}{res}{space 2}-.3167102{col 37}{space 2} .2740008{col 48}{space 1}   -1.16{col 57}{space 3}0.256{col 65}{space 4}-.8748316{col 78}{space 3} .2414112
{txt}{hline 24}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         #delimit cr     
{txt}delimiter now cr
{com}.         
.         
.         *********************************
.         *Agriculture as vocation
.         *********************************       
.         
.         *Model 5
.         #delimit ;
{txt}delimiter now ;
{com}.         reg vocation                    sum_bodies_am_1_50 
>                                                         sum_bodies_am_50
>                                                         $controlsregbezfe
>                                                         if transit_victim_cat != 1                                                      
>                                                         , cl(rb_code)
>         ;

{txt}Linear regression                               Number of obs     = {res}       396
                                                {txt}{help j_robustsingular:F(4, 5) }          =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.1198
                                                {txt}Root MSE          =    {res} .37186

{txt}{ralign 89:(Std. Err. adjusted for {res:6} clusters in rb_code)}
{hline 24}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 25}{c |}{col 37}    Robust
{col 1}               vocation{col 25}{c |}      Coef.{col 37}   Std. Err.{col 49}      t{col 57}   P>|t|{col 65}     [95% Con{col 78}f. Interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}sum_bodies_am_1_50 {c |}{col 25}{res}{space 2} .0006684{col 37}{space 2} .0992005{col 48}{space 1}    0.01{col 57}{space 3}0.995{col 65}{space 4}-.2543345{col 78}{space 3} .2556713
{txt}{space 7}sum_bodies_am_50 {c |}{col 25}{res}{space 2} .0283613{col 37}{space 2} .1143323{col 48}{space 1}    0.25{col 57}{space 3}0.814{col 65}{space 4}-.2655392{col 78}{space 3} .3222618
{txt}{space 8}age_group_40_54 {c |}{col 25}{res}{space 2} .0461773{col 37}{space 2} .0909837{col 48}{space 1}    0.51{col 57}{space 3}0.633{col 65}{space 4}-.1877038{col 78}{space 3} .2800583
{txt}{space 8}age_group_55_64 {c |}{col 25}{res}{space 2} .1393211{col 37}{space 2} .0518143{col 48}{space 1}    2.69{col 57}{space 3}0.043{col 65}{space 4} .0061281{col 78}{space 3} .2725141
{txt}{space 11}age_group_65 {c |}{col 25}{res}{space 2} .2459468{col 37}{space 2} .0667256{col 48}{space 1}    3.69{col 57}{space 3}0.014{col 65}{space 4} .0744231{col 78}{space 3} .4174704
{txt}{space 12}high_school {c |}{col 25}{res}{space 2}-.0591951{col 37}{space 2} .1465919{col 48}{space 1}   -0.40{col 57}{space 3}0.703{col 65}{space 4}-.4360214{col 78}{space 3} .3176313
{txt}{space 17}income {c |}{col 25}{res}{space 2} .0082035{col 37}{space 2} .0444203{col 48}{space 1}    0.18{col 57}{space 3}0.861{col 65}{space 4}-.1059826{col 78}{space 3} .1223896
{txt}{space 17}female {c |}{col 25}{res}{space 2} .0958128{col 37}{space 2} .0915347{col 48}{space 1}    1.05{col 57}{space 3}0.343{col 65}{space 4}-.1394847{col 78}{space 3} .3311102
{txt}{space 14}farm_size {c |}{col 25}{res}{space 2} .0119763{col 37}{space 2} .0370732{col 48}{space 1}    0.32{col 57}{space 3}0.760{col 65}{space 4}-.0833233{col 78}{space 3} .1072759
{txt}{space 10}farm_location {c |}{col 25}{res}{space 2}-.1090472{col 37}{space 2} .0872068{col 48}{space 1}   -1.25{col 57}{space 3}0.266{col 65}{space 4}-.3332194{col 78}{space 3} .1151249
{txt}{space 6}erbhof_share_1939 {c |}{col 25}{res}{space 2}-.4691494{col 37}{space 2} .2238101{col 48}{space 1}   -2.10{col 57}{space 3}0.090{col 65}{space 4}-1.044472{col 78}{space 3} .1061727
{txt}{space 8}location_income {c |}{col 25}{res}{space 2}-.0715199{col 37}{space 2} .0466296{col 48}{space 1}   -1.53{col 57}{space 3}0.186{col 65}{space 4}-.1913851{col 78}{space 3} .0483454
{txt}{space 10}location_size {c |}{col 25}{res}{space 2} .0363009{col 37}{space 2} .0187038{col 48}{space 1}    1.94{col 57}{space 3}0.110{col 65}{space 4}-.0117786{col 78}{space 3} .0843805
{txt}location_religion_20_79 {c |}{col 25}{res}{space 2}-.4471362{col 37}{space 2} .1040921{col 48}{space 1}   -4.30{col 57}{space 3}0.008{col 65}{space 4}-.7147135{col 78}{space 3}-.1795589
{txt}{space 3}location_religion_80 {c |}{col 25}{res}{space 2}-.0625453{col 37}{space 2} .1441381{col 48}{space 1}   -0.43{col 57}{space 3}0.682{col 65}{space 4}-.4330642{col 78}{space 3} .3079736
{txt}{space 19}rb92 {c |}{col 25}{res}{space 2} .0597715{col 37}{space 2} .0525922{col 48}{space 1}    1.14{col 57}{space 3}0.307{col 65}{space 4}-.0754211{col 78}{space 3} .1949641
{txt}{space 19}rb93 {c |}{col 25}{res}{space 2}-.0948854{col 37}{space 2} .0609422{col 48}{space 1}   -1.56{col 57}{space 3}0.180{col 65}{space 4}-.2515423{col 78}{space 3} .0617716
{txt}{space 19}rb94 {c |}{col 25}{res}{space 2}-.1069109{col 37}{space 2} .2341302{col 48}{space 1}   -0.46{col 57}{space 3}0.667{col 65}{space 4}-.7087619{col 78}{space 3}   .49494
{txt}{space 19}rb95 {c |}{col 25}{res}{space 2}-.2510899{col 37}{space 2} .1669945{col 48}{space 1}   -1.50{col 57}{space 3}0.193{col 65}{space 4}-.6803631{col 78}{space 3} .1781832
{txt}{space 19}rb97 {c |}{col 25}{res}{space 2} .0873613{col 37}{space 2} .1121128{col 48}{space 1}    0.78{col 57}{space 3}0.471{col 65}{space 4} -.200834{col 78}{space 3} .3755565
{txt}{space 18}_cons {c |}{col 25}{res}{space 2} .9780655{col 37}{space 2} .1384938{col 48}{space 1}    7.06{col 57}{space 3}0.001{col 65}{space 4} .6220559{col 78}{space 3} 1.334075
{txt}{hline 24}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         #delimit cr             
{txt}delimiter now cr
{com}.         
.         *Model 6        
.         #delimit ;
{txt}delimiter now ;
{com}.         reg vocation                    sum_bodies_am_1_50 
>                                                         sum_bodies_am_50
>                                                         $controlsonly
>                                                         if transit_victim_cat != 1                                                      
>                                                         , cl(kreis_code)
>         ;

{txt}Linear regression                               Number of obs     = {res}       396
                                                {txt}F(15, 30)         =  {res}     9.61
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0966
                                                {txt}Root MSE          =    {res} .37423

{txt}{ralign 89:(Std. Err. adjusted for {res:31} clusters in kreis_code)}
{hline 24}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 25}{c |}{col 37}    Robust
{col 1}               vocation{col 25}{c |}      Coef.{col 37}   Std. Err.{col 49}      t{col 57}   P>|t|{col 65}     [95% Con{col 78}f. Interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}sum_bodies_am_1_50 {c |}{col 25}{res}{space 2} .0163732{col 37}{space 2} .0546386{col 48}{space 1}    0.30{col 57}{space 3}0.767{col 65}{space 4}-.0952138{col 78}{space 3} .1279602
{txt}{space 7}sum_bodies_am_50 {c |}{col 25}{res}{space 2}-.0400938{col 37}{space 2} .1685013{col 48}{space 1}   -0.24{col 57}{space 3}0.814{col 65}{space 4}-.3842194{col 78}{space 3} .3040319
{txt}{space 8}age_group_40_54 {c |}{col 25}{res}{space 2} .0415071{col 37}{space 2} .0692748{col 48}{space 1}    0.60{col 57}{space 3}0.554{col 65}{space 4}-.0999709{col 78}{space 3} .1829851
{txt}{space 8}age_group_55_64 {c |}{col 25}{res}{space 2} .1236719{col 37}{space 2} .0544432{col 48}{space 1}    2.27{col 57}{space 3}0.030{col 65}{space 4}  .012484{col 78}{space 3} .2348598
{txt}{space 11}age_group_65 {c |}{col 25}{res}{space 2} .2265908{col 37}{space 2} .0564891{col 48}{space 1}    4.01{col 57}{space 3}0.000{col 65}{space 4} .1112246{col 78}{space 3} .3419569
{txt}{space 12}high_school {c |}{col 25}{res}{space 2}-.0798942{col 37}{space 2} .1736973{col 48}{space 1}   -0.46{col 57}{space 3}0.649{col 65}{space 4}-.4346314{col 78}{space 3}  .274843
{txt}{space 17}income {c |}{col 25}{res}{space 2} .0022653{col 37}{space 2} .0222147{col 48}{space 1}    0.10{col 57}{space 3}0.919{col 65}{space 4}-.0431031{col 78}{space 3} .0476338
{txt}{space 17}female {c |}{col 25}{res}{space 2} .0940707{col 37}{space 2} .0727576{col 48}{space 1}    1.29{col 57}{space 3}0.206{col 65}{space 4}-.0545202{col 78}{space 3} .2426616
{txt}{space 14}farm_size {c |}{col 25}{res}{space 2} .0122615{col 37}{space 2} .0319702{col 48}{space 1}    0.38{col 57}{space 3}0.704{col 65}{space 4}-.0530304{col 78}{space 3} .0775534
{txt}{space 10}farm_location {c |}{col 25}{res}{space 2}-.0847129{col 37}{space 2} .0740303{col 48}{space 1}   -1.14{col 57}{space 3}0.262{col 65}{space 4} -.235903{col 78}{space 3} .0664771
{txt}{space 6}erbhof_share_1939 {c |}{col 25}{res}{space 2}-.4005692{col 37}{space 2} .1686577{col 48}{space 1}   -2.38{col 57}{space 3}0.024{col 65}{space 4}-.7450142{col 78}{space 3}-.0561241
{txt}{space 8}location_income {c |}{col 25}{res}{space 2}-.0680341{col 37}{space 2} .0447132{col 48}{space 1}   -1.52{col 57}{space 3}0.139{col 65}{space 4}-.1593505{col 78}{space 3} .0232824
{txt}{space 10}location_size {c |}{col 25}{res}{space 2} .0463545{col 37}{space 2} .0224001{col 48}{space 1}    2.07{col 57}{space 3}0.047{col 65}{space 4} .0006075{col 78}{space 3} .0921016
{txt}location_religion_20_79 {c |}{col 25}{res}{space 2} -.257501{col 37}{space 2}  .110422{col 48}{space 1}   -2.33{col 57}{space 3}0.027{col 65}{space 4}-.4830127{col 78}{space 3}-.0319892
{txt}{space 3}location_religion_80 {c |}{col 25}{res}{space 2}  .051027{col 37}{space 2} .0745448{col 48}{space 1}    0.68{col 57}{space 3}0.499{col 65}{space 4}-.1012139{col 78}{space 3} .2032678
{txt}{space 18}_cons {c |}{col 25}{res}{space 2} .8119071{col 37}{space 2} .1518307{col 48}{space 1}    5.35{col 57}{space 3}0.000{col 65}{space 4} .5018274{col 78}{space 3} 1.121987
{txt}{hline 24}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         #delimit cr     
{txt}delimiter now cr
{com}.         
.         
.         *********************************
.         *Working hours fixed
.         *********************************       
.         
.         *Model 7
.         #delimit ;
{txt}delimiter now ;
{com}.         reg fixworkhours                sum_bodies_am_1_50 
>                                                         sum_bodies_am_50
>                                                         $controlsregbezfe
>                                                         if transit_victim_cat != 1                                                      
>                                                         , cl(rb_code)
>         ;

{txt}Linear regression                               Number of obs     = {res}       436
                                                {txt}{help j_robustsingular:F(4, 5) }          =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.2856
                                                {txt}Root MSE          =    {res} .43134

{txt}{ralign 89:(Std. Err. adjusted for {res:6} clusters in rb_code)}
{hline 24}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 25}{c |}{col 37}    Robust
{col 1}           fixworkhours{col 25}{c |}      Coef.{col 37}   Std. Err.{col 49}      t{col 57}   P>|t|{col 65}     [95% Con{col 78}f. Interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}sum_bodies_am_1_50 {c |}{col 25}{res}{space 2} .1463343{col 37}{space 2} .0453458{col 48}{space 1}    3.23{col 57}{space 3}0.023{col 65}{space 4} .0297692{col 78}{space 3} .2628993
{txt}{space 7}sum_bodies_am_50 {c |}{col 25}{res}{space 2} .0258509{col 37}{space 2} .0290731{col 48}{space 1}    0.89{col 57}{space 3}0.415{col 65}{space 4}-.0488839{col 78}{space 3} .1005857
{txt}{space 8}age_group_40_54 {c |}{col 25}{res}{space 2} .1242066{col 37}{space 2} .2334472{col 48}{space 1}    0.53{col 57}{space 3}0.617{col 65}{space 4}-.4758886{col 78}{space 3} .7243019
{txt}{space 8}age_group_55_64 {c |}{col 25}{res}{space 2}-.0402408{col 37}{space 2} .1526005{col 48}{space 1}   -0.26{col 57}{space 3}0.803{col 65}{space 4}-.4325128{col 78}{space 3} .3520313
{txt}{space 11}age_group_65 {c |}{col 25}{res}{space 2} .2526168{col 37}{space 2} .1006434{col 48}{space 1}    2.51{col 57}{space 3}0.054{col 65}{space 4}-.0060953{col 78}{space 3} .5113289
{txt}{space 12}high_school {c |}{col 25}{res}{space 2}  .011926{col 37}{space 2} .0888061{col 48}{space 1}    0.13{col 57}{space 3}0.898{col 65}{space 4}-.2163573{col 78}{space 3} .2402092
{txt}{space 17}income {c |}{col 25}{res}{space 2} .0880114{col 37}{space 2} .0127106{col 48}{space 1}    6.92{col 57}{space 3}0.001{col 65}{space 4} .0553377{col 78}{space 3} .1206851
{txt}{space 17}female {c |}{col 25}{res}{space 2} .0022708{col 37}{space 2} .0895733{col 48}{space 1}    0.03{col 57}{space 3}0.981{col 65}{space 4}-.2279848{col 78}{space 3} .2325263
{txt}{space 14}farm_size {c |}{col 25}{res}{space 2}-.0126026{col 37}{space 2} .0334456{col 48}{space 1}   -0.38{col 57}{space 3}0.722{col 65}{space 4}-.0985772{col 78}{space 3}  .073372
{txt}{space 10}farm_location {c |}{col 25}{res}{space 2} .1906199{col 37}{space 2} .0305442{col 48}{space 1}    6.24{col 57}{space 3}0.002{col 65}{space 4} .1121037{col 78}{space 3} .2691362
{txt}{space 6}erbhof_share_1939 {c |}{col 25}{res}{space 2}-.0727382{col 37}{space 2} .1572235{col 48}{space 1}   -0.46{col 57}{space 3}0.663{col 65}{space 4}-.4768941{col 78}{space 3} .3314178
{txt}{space 8}location_income {c |}{col 25}{res}{space 2} .0468428{col 37}{space 2} .0317105{col 48}{space 1}    1.48{col 57}{space 3}0.200{col 65}{space 4}-.0346717{col 78}{space 3} .1283574
{txt}{space 10}location_size {c |}{col 25}{res}{space 2}-.0138199{col 37}{space 2} .0401092{col 48}{space 1}   -0.34{col 57}{space 3}0.744{col 65}{space 4}-.1169238{col 78}{space 3}  .089284
{txt}location_religion_20_79 {c |}{col 25}{res}{space 2} .7542575{col 37}{space 2}  .189089{col 48}{space 1}    3.99{col 57}{space 3}0.010{col 65}{space 4} .2681887{col 78}{space 3} 1.240326
{txt}{space 3}location_religion_80 {c |}{col 25}{res}{space 2} .4632013{col 37}{space 2} .0787954{col 48}{space 1}    5.88{col 57}{space 3}0.002{col 65}{space 4} .2606512{col 78}{space 3} .6657514
{txt}{space 19}rb92 {c |}{col 25}{res}{space 2} -.087931{col 37}{space 2} .0426086{col 48}{space 1}   -2.06{col 57}{space 3}0.094{col 65}{space 4}-.1974599{col 78}{space 3}  .021598
{txt}{space 19}rb93 {c |}{col 25}{res}{space 2} .2564379{col 37}{space 2} .0281092{col 48}{space 1}    9.12{col 57}{space 3}0.000{col 65}{space 4}  .184181{col 78}{space 3} .3286948
{txt}{space 19}rb94 {c |}{col 25}{res}{space 2} .2881075{col 37}{space 2} .0657889{col 48}{space 1}    4.38{col 57}{space 3}0.007{col 65}{space 4} .1189916{col 78}{space 3} .4572234
{txt}{space 19}rb95 {c |}{col 25}{res}{space 2} .3460742{col 37}{space 2} .1067488{col 48}{space 1}    3.24{col 57}{space 3}0.023{col 65}{space 4} .0716678{col 78}{space 3} .6204806
{txt}{space 19}rb97 {c |}{col 25}{res}{space 2}-.0526641{col 37}{space 2} .1007667{col 48}{space 1}   -0.52{col 57}{space 3}0.624{col 65}{space 4}-.3116932{col 78}{space 3} .2063649
{txt}{space 18}_cons {c |}{col 25}{res}{space 2}-.5671272{col 37}{space 2} .3750423{col 48}{space 1}   -1.51{col 57}{space 3}0.191{col 65}{space 4}-1.531204{col 78}{space 3} .3969499
{txt}{hline 24}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         #delimit cr     
{txt}delimiter now cr
{com}.         
.         *Model 8        
.         #delimit ;
{txt}delimiter now ;
{com}.         reg fixworkhours                sum_bodies_am_1_50 
>                                                         sum_bodies_am_50
>                                                         $controlsonly
>                                                         if transit_victim_cat != 1                                                      
>                                                         , cl(kreis_code)
>         ;

{txt}Linear regression                               Number of obs     = {res}       436
                                                {txt}F(15, 32)         =  {res}   126.05
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.2274
                                                {txt}Root MSE          =    {res}  .4459

{txt}{ralign 89:(Std. Err. adjusted for {res:33} clusters in kreis_code)}
{hline 24}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 25}{c |}{col 37}    Robust
{col 1}           fixworkhours{col 25}{c |}      Coef.{col 37}   Std. Err.{col 49}      t{col 57}   P>|t|{col 65}     [95% Con{col 78}f. Interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}sum_bodies_am_1_50 {c |}{col 25}{res}{space 2}  .119148{col 37}{space 2} .0696835{col 48}{space 1}    1.71{col 57}{space 3}0.097{col 65}{space 4}-.0227926{col 78}{space 3} .2610886
{txt}{space 7}sum_bodies_am_50 {c |}{col 25}{res}{space 2} .1959828{col 37}{space 2} .1479921{col 48}{space 1}    1.32{col 57}{space 3}0.195{col 65}{space 4}-.1054673{col 78}{space 3} .4974328
{txt}{space 8}age_group_40_54 {c |}{col 25}{res}{space 2} .1488596{col 37}{space 2} .2140877{col 48}{space 1}    0.70{col 57}{space 3}0.492{col 65}{space 4}-.2872227{col 78}{space 3}  .584942
{txt}{space 8}age_group_55_64 {c |}{col 25}{res}{space 2}-.0106404{col 37}{space 2} .1674059{col 48}{space 1}   -0.06{col 57}{space 3}0.950{col 65}{space 4}-.3516351{col 78}{space 3} .3303542
{txt}{space 11}age_group_65 {c |}{col 25}{res}{space 2} .3909513{col 37}{space 2} .2023747{col 48}{space 1}    1.93{col 57}{space 3}0.062{col 65}{space 4}-.0212724{col 78}{space 3} .8031751
{txt}{space 12}high_school {c |}{col 25}{res}{space 2} .0732884{col 37}{space 2} .1985344{col 48}{space 1}    0.37{col 57}{space 3}0.714{col 65}{space 4}-.3311129{col 78}{space 3} .4776898
{txt}{space 17}income {c |}{col 25}{res}{space 2} .1062204{col 37}{space 2} .0134241{col 48}{space 1}    7.91{col 57}{space 3}0.000{col 65}{space 4} .0788763{col 78}{space 3} .1335645
{txt}{space 17}female {c |}{col 25}{res}{space 2} .0067442{col 37}{space 2} .0657621{col 48}{space 1}    0.10{col 57}{space 3}0.919{col 65}{space 4}-.1272088{col 78}{space 3} .1406972
{txt}{space 14}farm_size {c |}{col 25}{res}{space 2}-.0117214{col 37}{space 2} .0216523{col 48}{space 1}   -0.54{col 57}{space 3}0.592{col 65}{space 4}-.0558257{col 78}{space 3} .0323828
{txt}{space 10}farm_location {c |}{col 25}{res}{space 2} .1238149{col 37}{space 2}  .086778{col 48}{space 1}    1.43{col 57}{space 3}0.163{col 65}{space 4}-.0529461{col 78}{space 3} .3005758
{txt}{space 6}erbhof_share_1939 {c |}{col 25}{res}{space 2}-.2152584{col 37}{space 2} .2480182{col 48}{space 1}   -0.87{col 57}{space 3}0.392{col 65}{space 4} -.720455{col 78}{space 3} .2899383
{txt}{space 8}location_income {c |}{col 25}{res}{space 2} .0232724{col 37}{space 2}  .040395{col 48}{space 1}    0.58{col 57}{space 3}0.569{col 65}{space 4}-.0590096{col 78}{space 3} .1055544
{txt}{space 10}location_size {c |}{col 25}{res}{space 2}-.0259374{col 37}{space 2} .0374666{col 48}{space 1}   -0.69{col 57}{space 3}0.494{col 65}{space 4}-.1022544{col 78}{space 3} .0503797
{txt}location_religion_20_79 {c |}{col 25}{res}{space 2} .4486171{col 37}{space 2} .1704367{col 48}{space 1}    2.63{col 57}{space 3}0.013{col 65}{space 4} .1014489{col 78}{space 3} .7957853
{txt}{space 3}location_religion_80 {c |}{col 25}{res}{space 2}  .247624{col 37}{space 2} .1274705{col 48}{space 1}    1.94{col 57}{space 3}0.061{col 65}{space 4}-.0120249{col 78}{space 3} .5072728
{txt}{space 18}_cons {c |}{col 25}{res}{space 2}-.2481306{col 37}{space 2} .3017808{col 48}{space 1}   -0.82{col 57}{space 3}0.417{col 65}{space 4}-.8628379{col 78}{space 3} .3665766
{txt}{hline 24}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         #delimit cr             
{txt}delimiter now cr
{com}.         
.         
.         *********************************
.         *Self-employment beneficial
.         *********************************       
.         
.         *Model 9
.         #delimit ;
{txt}delimiter now ;
{com}.         reg selfemployed                sum_bodies_am_1_50 
>                                                         sum_bodies_am_50
>                                                         $controlsregbezfe
>                                                         if transit_victim_cat != 1                                                      
>                                                         , cl(rb_code)
>         ;

{txt}Linear regression                               Number of obs     = {res}       426
                                                {txt}{help j_robustsingular:F(4, 5) }          =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.1096
                                                {txt}Root MSE          =    {res} .31681

{txt}{ralign 89:(Std. Err. adjusted for {res:6} clusters in rb_code)}
{hline 24}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 25}{c |}{col 37}    Robust
{col 1}           selfemployed{col 25}{c |}      Coef.{col 37}   Std. Err.{col 49}      t{col 57}   P>|t|{col 65}     [95% Con{col 78}f. Interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}sum_bodies_am_1_50 {c |}{col 25}{res}{space 2} .0388908{col 37}{space 2} .0593922{col 48}{space 1}    0.65{col 57}{space 3}0.542{col 65}{space 4}-.1137818{col 78}{space 3} .1915634
{txt}{space 7}sum_bodies_am_50 {c |}{col 25}{res}{space 2}  .026362{col 37}{space 2} .0690391{col 48}{space 1}    0.38{col 57}{space 3}0.718{col 65}{space 4}-.1511087{col 78}{space 3} .2038327
{txt}{space 8}age_group_40_54 {c |}{col 25}{res}{space 2} .0208705{col 37}{space 2} .0435454{col 48}{space 1}    0.48{col 57}{space 3}0.652{col 65}{space 4}-.0910665{col 78}{space 3} .1328076
{txt}{space 8}age_group_55_64 {c |}{col 25}{res}{space 2} .1283885{col 37}{space 2}  .049767{col 48}{space 1}    2.58{col 57}{space 3}0.049{col 65}{space 4} .0004583{col 78}{space 3} .2563187
{txt}{space 11}age_group_65 {c |}{col 25}{res}{space 2} .1910056{col 37}{space 2} .0616496{col 48}{space 1}    3.10{col 57}{space 3}0.027{col 65}{space 4} .0325303{col 78}{space 3}  .349481
{txt}{space 12}high_school {c |}{col 25}{res}{space 2}  .011967{col 37}{space 2} .0415416{col 48}{space 1}    0.29{col 57}{space 3}0.785{col 65}{space 4} -.094819{col 78}{space 3}  .118753
{txt}{space 17}income {c |}{col 25}{res}{space 2} .0177756{col 37}{space 2} .0245992{col 48}{space 1}    0.72{col 57}{space 3}0.502{col 65}{space 4}-.0454586{col 78}{space 3} .0810099
{txt}{space 17}female {c |}{col 25}{res}{space 2} .0408139{col 37}{space 2} .0296481{col 48}{space 1}    1.38{col 57}{space 3}0.227{col 65}{space 4}-.0353989{col 78}{space 3} .1170268
{txt}{space 14}farm_size {c |}{col 25}{res}{space 2} .0378572{col 37}{space 2} .0240104{col 48}{space 1}    1.58{col 57}{space 3}0.176{col 65}{space 4}-.0238636{col 78}{space 3}  .099578
{txt}{space 10}farm_location {c |}{col 25}{res}{space 2}-.0370766{col 37}{space 2} .0241724{col 48}{space 1}   -1.53{col 57}{space 3}0.186{col 65}{space 4}-.0992138{col 78}{space 3} .0250607
{txt}{space 6}erbhof_share_1939 {c |}{col 25}{res}{space 2}-.1420092{col 37}{space 2} .1424405{col 48}{space 1}   -1.00{col 57}{space 3}0.365{col 65}{space 4}-.5081642{col 78}{space 3} .2241458
{txt}{space 8}location_income {c |}{col 25}{res}{space 2}-.0128171{col 37}{space 2} .0422085{col 48}{space 1}   -0.30{col 57}{space 3}0.774{col 65}{space 4}-.1213175{col 78}{space 3} .0956832
{txt}{space 10}location_size {c |}{col 25}{res}{space 2}-.0204459{col 37}{space 2} .0324335{col 48}{space 1}   -0.63{col 57}{space 3}0.556{col 65}{space 4}-.1038188{col 78}{space 3} .0629271
{txt}location_religion_20_79 {c |}{col 25}{res}{space 2} .4299356{col 37}{space 2} .0683198{col 48}{space 1}    6.29{col 57}{space 3}0.001{col 65}{space 4} .2543141{col 78}{space 3} .6055571
{txt}{space 3}location_religion_80 {c |}{col 25}{res}{space 2} .4398314{col 37}{space 2} .0389571{col 48}{space 1}   11.29{col 57}{space 3}0.000{col 65}{space 4} .3396891{col 78}{space 3} .5399737
{txt}{space 19}rb92 {c |}{col 25}{res}{space 2}-.0361749{col 37}{space 2} .0451249{col 48}{space 1}   -0.80{col 57}{space 3}0.459{col 65}{space 4}-.1521721{col 78}{space 3} .0798223
{txt}{space 19}rb93 {c |}{col 25}{res}{space 2}-.0554689{col 37}{space 2} .0291891{col 48}{space 1}   -1.90{col 57}{space 3}0.116{col 65}{space 4}-.1305019{col 78}{space 3} .0195642
{txt}{space 19}rb94 {c |}{col 25}{res}{space 2}  .495188{col 37}{space 2}  .038898{col 48}{space 1}   12.73{col 57}{space 3}0.000{col 65}{space 4} .3951975{col 78}{space 3} .5951786
{txt}{space 19}rb95 {c |}{col 25}{res}{space 2} .2981137{col 37}{space 2} .0361559{col 48}{space 1}    8.25{col 57}{space 3}0.000{col 65}{space 4}  .205172{col 78}{space 3} .3910555
{txt}{space 19}rb97 {c |}{col 25}{res}{space 2} .1628382{col 37}{space 2} .0480285{col 48}{space 1}    3.39{col 57}{space 3}0.019{col 65}{space 4} .0393769{col 78}{space 3} .2862995
{txt}{space 18}_cons {c |}{col 25}{res}{space 2} .1809129{col 37}{space 2} .0641151{col 48}{space 1}    2.82{col 57}{space 3}0.037{col 65}{space 4} .0160999{col 78}{space 3}  .345726
{txt}{hline 24}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         #delimit cr             
{txt}delimiter now cr
{com}.         
.         *Model 10
.         #delimit ;
{txt}delimiter now ;
{com}.         reg selfemployed                sum_bodies_am_1_50 
>                                                         sum_bodies_am_50
>                                                         $controlsonly
>                                                         if transit_victim_cat != 1                                                      
>                                                         , cl(kreis_code)
>         ;

{txt}Linear regression                               Number of obs     = {res}       426
                                                {txt}F(15, 32)         =  {res}    55.81
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0878
                                                {txt}Root MSE          =    {res} .31871

{txt}{ralign 89:(Std. Err. adjusted for {res:33} clusters in kreis_code)}
{hline 24}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 25}{c |}{col 37}    Robust
{col 1}           selfemployed{col 25}{c |}      Coef.{col 37}   Std. Err.{col 49}      t{col 57}   P>|t|{col 65}     [95% Con{col 78}f. Interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}sum_bodies_am_1_50 {c |}{col 25}{res}{space 2} .0161234{col 37}{space 2} .0452454{col 48}{space 1}    0.36{col 57}{space 3}0.724{col 65}{space 4}-.0760384{col 78}{space 3} .1082852
{txt}{space 7}sum_bodies_am_50 {c |}{col 25}{res}{space 2}-.0045487{col 37}{space 2} .0601053{col 48}{space 1}   -0.08{col 57}{space 3}0.940{col 65}{space 4}-.1269792{col 78}{space 3} .1178818
{txt}{space 8}age_group_40_54 {c |}{col 25}{res}{space 2} .0059616{col 37}{space 2} .0488713{col 48}{space 1}    0.12{col 57}{space 3}0.904{col 65}{space 4} -.093586{col 78}{space 3} .1055093
{txt}{space 8}age_group_55_64 {c |}{col 25}{res}{space 2} .1198544{col 37}{space 2} .0492279{col 48}{space 1}    2.43{col 57}{space 3}0.021{col 65}{space 4} .0195804{col 78}{space 3} .2201284
{txt}{space 11}age_group_65 {c |}{col 25}{res}{space 2} .1861048{col 37}{space 2} .0749058{col 48}{space 1}    2.48{col 57}{space 3}0.018{col 65}{space 4} .0335266{col 78}{space 3} .3386829
{txt}{space 12}high_school {c |}{col 25}{res}{space 2}-.0136511{col 37}{space 2} .0622047{col 48}{space 1}   -0.22{col 57}{space 3}0.828{col 65}{space 4}-.1403579{col 78}{space 3} .1130557
{txt}{space 17}income {c |}{col 25}{res}{space 2} .0183856{col 37}{space 2} .0250397{col 48}{space 1}    0.73{col 57}{space 3}0.468{col 65}{space 4}-.0326186{col 78}{space 3} .0693898
{txt}{space 17}female {c |}{col 25}{res}{space 2} .0483268{col 37}{space 2} .0432312{col 48}{space 1}    1.12{col 57}{space 3}0.272{col 65}{space 4}-.0397322{col 78}{space 3} .1363858
{txt}{space 14}farm_size {c |}{col 25}{res}{space 2} .0424048{col 37}{space 2} .0264381{col 48}{space 1}    1.60{col 57}{space 3}0.119{col 65}{space 4}-.0114479{col 78}{space 3} .0962575
{txt}{space 10}farm_location {c |}{col 25}{res}{space 2}-.0469516{col 37}{space 2}  .043195{col 48}{space 1}   -1.09{col 57}{space 3}0.285{col 65}{space 4}-.1349369{col 78}{space 3} .0410337
{txt}{space 6}erbhof_share_1939 {c |}{col 25}{res}{space 2}-.0920702{col 37}{space 2} .1986296{col 48}{space 1}   -0.46{col 57}{space 3}0.646{col 65}{space 4}-.4966656{col 78}{space 3} .3125251
{txt}{space 8}location_income {c |}{col 25}{res}{space 2}-.0083881{col 37}{space 2} .0423687{col 48}{space 1}   -0.20{col 57}{space 3}0.844{col 65}{space 4}-.0946903{col 78}{space 3} .0779142
{txt}{space 10}location_size {c |}{col 25}{res}{space 2}-.0084952{col 37}{space 2} .0252488{col 48}{space 1}   -0.34{col 57}{space 3}0.739{col 65}{space 4}-.0599252{col 78}{space 3} .0429349
{txt}location_religion_20_79 {c |}{col 25}{res}{space 2} .1232302{col 37}{space 2} .0684202{col 48}{space 1}    1.80{col 57}{space 3}0.081{col 65}{space 4}-.0161373{col 78}{space 3} .2625976
{txt}{space 3}location_religion_80 {c |}{col 25}{res}{space 2} .0052504{col 37}{space 2} .0768904{col 48}{space 1}    0.07{col 57}{space 3}0.946{col 65}{space 4}-.1513703{col 78}{space 3}  .161871
{txt}{space 18}_cons {c |}{col 25}{res}{space 2} .5051193{col 37}{space 2} .1915529{col 48}{space 1}    2.64{col 57}{space 3}0.013{col 65}{space 4} .1149387{col 78}{space 3} .8952999
{txt}{hline 24}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         #delimit cr     
{txt}delimiter now cr
{com}.         
.         
.         ****************************************************************************    
.         *       
.         ****************************************************************************            
. 
.         *Clearing data
.         clear all
{res}{txt}
{com}.         
.         *End recording log file
.         log close                       
      {txt}name:  {res}<unnamed>
       {txt}log:  {res}C:\Users\pxq521\Dropbox\Death Marches\replication_materials_death_marches\tables\\table_2_SI_71_SI_72_SI_73.smcl
  {txt}log type:  {res}smcl
 {txt}closed on:  {res}27 Mar 2023, 18:27:19
{txt}{.-}
{smcl}
{txt}{sf}{ul off}